int main(int argc, char *argv[])
{
#ifdef HAVE_MPI
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
int rank=mpiSession.getRank();
int numProcs=mpiSession.getNProc();
#else
int rank = 0;
int numProcs = 1;
#endif
int polyOrder = 2;
// define our manufactured solution or problem bilinear form:
double epsilon = 1e-3;
bool useTriangles = false;
int pToAdd = 2;
int nCells = 2;
if ( argc > 1)
{
nCells = atoi(argv[1]);
if (rank==0)
{
cout << "numCells = " << nCells << endl;
}
}
int numSteps = 20;
if ( argc > 2)
{
numSteps = atoi(argv[2]);
if (rank==0)
{
cout << "num NR steps = " << numSteps << endl;
}
}
int useHessian = 0; // defaults to "not use"
if ( argc > 3)
{
useHessian = atoi(argv[3]);
if (rank==0)
{
cout << "useHessian = " << useHessian << endl;
}
}
int thresh = numSteps; // threshhold for when to apply linesearch/hessian
if ( argc > 4)
{
thresh = atoi(argv[4]);
if (rank==0)
{
cout << "thresh = " << thresh << endl;
}
}
int H1Order = polyOrder + 1;
double energyThreshold = 0.2; // for mesh refinements
double nonlinearStepSize = 0.5;
double nonlinearRelativeEnergyTolerance = 1e-8; // used to determine convergence of the nonlinear solution
////////////////////////////////////////////////////////////////////
// DEFINE VARIABLES
////////////////////////////////////////////////////////////////////
// new-style bilinear form definition
VarFactory varFactory;
VarPtr uhat = varFactory.traceVar("\\widehat{u}");
VarPtr beta_n_u_minus_sigma_hat = varFactory.fluxVar("\\widehat{\\beta_n u - \\sigma_n}");
VarPtr u = varFactory.fieldVar("u");
VarPtr sigma1 = varFactory.fieldVar("\\sigma_1");
VarPtr sigma2 = varFactory.fieldVar("\\sigma_2");
VarPtr tau = varFactory.testVar("\\tau",HDIV);
VarPtr v = varFactory.testVar("v",HGRAD);
BFPtr bf = Teuchos::rcp( new BF(varFactory) ); // initialize bilinear form
////////////////////////////////////////////////////////////////////
// CREATE MESH
////////////////////////////////////////////////////////////////////
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = MeshUtilities::buildUnitQuadMesh(nCells, bf, H1Order, H1Order+pToAdd);
mesh->setPartitionPolicy(Teuchos::rcp(new ZoltanMeshPartitionPolicy("HSFC")));
////////////////////////////////////////////////////////////////////
// INITIALIZE BACKGROUND FLOW FUNCTIONS
////////////////////////////////////////////////////////////////////
BCPtr nullBC = Teuchos::rcp((BC*)NULL);
RHSPtr nullRHS = Teuchos::rcp((RHS*)NULL);
IPPtr nullIP = Teuchos::rcp((IP*)NULL);
SolutionPtr backgroundFlow = Teuchos::rcp(new Solution(mesh, nullBC,
nullRHS, nullIP) );
vector<double> e1(2); // (1,0)
e1[0] = 1;
vector<double> e2(2); // (0,1)
e2[1] = 1;
FunctionPtr u_prev = Teuchos::rcp( new PreviousSolutionFunction(backgroundFlow, u) );
FunctionPtr beta = e1 * u_prev + Teuchos::rcp( new ConstantVectorFunction( e2 ) );
////////////////////////////////////////////////////////////////////
// DEFINE BILINEAR FORM
////////////////////////////////////////////////////////////////////
// tau parts:
// 1/eps (sigma, tau)_K + (u, div tau)_K - (u_hat, tau_n)_dK
bf->addTerm(sigma1 / epsilon, tau->x());
bf->addTerm(sigma2 / epsilon, tau->y());
bf->addTerm(u, tau->div());
bf->addTerm( - uhat, tau->dot_normal() );
// v:
// (sigma, grad v)_K - (sigma_hat_n, v)_dK - (u, beta dot grad v) + (u_hat * n dot beta, v)_dK
bf->addTerm( sigma1, v->dx() );
bf->addTerm( sigma2, v->dy() );
bf->addTerm( -u, beta * v->grad());
bf->addTerm( beta_n_u_minus_sigma_hat, v);
// ==================== SET INITIAL GUESS ==========================
mesh->registerSolution(backgroundFlow);
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
FunctionPtr u0 = Teuchos::rcp( new U0 );
map<int, Teuchos::RCP<Function> > functionMap;
functionMap[u->ID()] = u0;
functionMap[sigma1->ID()] = zero;
functionMap[sigma2->ID()] = zero;
backgroundFlow->projectOntoMesh(functionMap);
// ==================== END SET INITIAL GUESS ==========================
////////////////////////////////////////////////////////////////////
// DEFINE INNER PRODUCT
////////////////////////////////////////////////////////////////////
// function to scale the squared guy by epsilon/h
FunctionPtr epsilonOverHScaling = Teuchos::rcp( new EpsilonScaling(epsilon) );
IPPtr ip = Teuchos::rcp( new IP );
ip->addTerm( epsilonOverHScaling * (1.0/sqrt(epsilon))* tau);
ip->addTerm( tau->div());
// ip->addTerm( epsilonOverHScaling * v );
ip->addTerm( v );
ip->addTerm( sqrt(epsilon) * v->grad() );
ip->addTerm(v->grad());
// ip->addTerm( beta * v->grad() );
////////////////////////////////////////////////////////////////////
// DEFINE RHS
////////////////////////////////////////////////////////////////////
RHSPtr rhs = RHS::rhs();
FunctionPtr u_prev_squared_div2 = 0.5 * u_prev * u_prev;
rhs->addTerm((e1 * u_prev_squared_div2 + e2 * u_prev) * v->grad() - u_prev * tau->div());
////////////////////////////////////////////////////////////////////
// DEFINE DIRICHLET BC
////////////////////////////////////////////////////////////////////
FunctionPtr n = Teuchos::rcp( new UnitNormalFunction );
SpatialFilterPtr outflowBoundary = Teuchos::rcp( new TopBoundary);
SpatialFilterPtr inflowBoundary = Teuchos::rcp( new NegatedSpatialFilter(outflowBoundary) );
BCPtr inflowBC = BC::bc();
FunctionPtr u0_squared_div_2 = 0.5 * u0 * u0;
inflowBC->addDirichlet(beta_n_u_minus_sigma_hat,inflowBoundary,
( e1 * u0_squared_div_2 + e2 * u0) * n );
////////////////////////////////////////////////////////////////////
// CREATE SOLUTION OBJECT
////////////////////////////////////////////////////////////////////
Teuchos::RCP<Solution> solution = Teuchos::rcp(new Solution(mesh, inflowBC, rhs, ip));
mesh->registerSolution(solution);
////////////////////////////////////////////////////////////////////
// WARNING: UNFINISHED HESSIAN BIT
////////////////////////////////////////////////////////////////////
VarFactory hessianVars = varFactory.getBubnovFactory(VarFactory::BUBNOV_TRIAL);
VarPtr du = hessianVars.test(u->ID());
BFPtr hessianBF = Teuchos::rcp( new BF(hessianVars) ); // initialize bilinear form
// FunctionPtr e_v = Function::constant(1.0); // dummy error rep function for now - should do nothing
FunctionPtr u_current = Teuchos::rcp( new PreviousSolutionFunction(solution, u) );
FunctionPtr sig1_prev = Teuchos::rcp( new PreviousSolutionFunction(solution, sigma1) );
FunctionPtr sig2_prev = Teuchos::rcp( new PreviousSolutionFunction(solution, sigma2) );
FunctionPtr sig_prev = (e1*sig1_prev + e2*sig2_prev);
FunctionPtr fnhat = Teuchos::rcp(new PreviousSolutionFunction(solution,beta_n_u_minus_sigma_hat));
FunctionPtr uhat_prev = Teuchos::rcp(new PreviousSolutionFunction(solution,uhat));
LinearTermPtr residual = Teuchos::rcp(new LinearTerm);// residual
residual->addTerm(fnhat*v - (e1 * (u_prev_squared_div2 - sig1_prev) + e2 * (u_prev - sig2_prev)) * v->grad());
residual->addTerm((1/epsilon)*sig_prev * tau + u_prev * tau->div() - uhat_prev*tau->dot_normal());
LinearTermPtr Bdu = Teuchos::rcp(new LinearTerm);// residual
Bdu->addTerm( u_current*tau->div() - u_current*(beta*v->grad()));
Teuchos::RCP<RieszRep> riesz = Teuchos::rcp(new RieszRep(mesh, ip, residual));
Teuchos::RCP<RieszRep> duRiesz = Teuchos::rcp(new RieszRep(mesh, ip, Bdu));
riesz->computeRieszRep();
FunctionPtr e_v = Teuchos::rcp(new RepFunction(v,riesz));
e_v->writeValuesToMATLABFile(mesh, "e_v.m");
FunctionPtr posErrPart = Teuchos::rcp(new PositivePart(e_v->dx()));
hessianBF->addTerm(e_v->dx()*u,du);
// hessianBF->addTerm(posErrPart*u,du);
Teuchos::RCP<HessianFilter> hessianFilter = Teuchos::rcp(new HessianFilter(hessianBF));
if (useHessian)
{
solution->setWriteMatrixToFile(true,"hessianStiffness.dat");
}
else
{
solution->setWriteMatrixToFile(true,"stiffness.dat");
}
Teuchos::RCP< LineSearchStep > LS_Step = Teuchos::rcp(new LineSearchStep(riesz));
ofstream out;
out.open("Burgers.txt");
double NL_residual = 9e99;
for (int i = 0; i<numSteps; i++)
{
solution->solve(false); // do one solve to initialize things...
double stepLength = 1.0;
stepLength = LS_Step->stepSize(backgroundFlow,solution, NL_residual);
if (useHessian)
{
solution->setFilter(hessianFilter);
}
backgroundFlow->addSolution(solution,stepLength);
NL_residual = LS_Step->getNLResidual();
if (rank==0)
{
cout << "NL residual after adding = " << NL_residual << " with step size " << stepLength << endl;
out << NL_residual << endl; // saves initial NL error
}
}
out.close();
////////////////////////////////////////////////////////////////////
// DEFINE REFINEMENT STRATEGY
////////////////////////////////////////////////////////////////////
Teuchos::RCP<RefinementStrategy> refinementStrategy;
refinementStrategy = Teuchos::rcp(new RefinementStrategy(solution,energyThreshold));
int numRefs = 0;
Teuchos::RCP<NonlinearStepSize> stepSize = Teuchos::rcp(new NonlinearStepSize(nonlinearStepSize));
Teuchos::RCP<NonlinearSolveStrategy> solveStrategy;
solveStrategy = Teuchos::rcp( new NonlinearSolveStrategy(backgroundFlow, solution, stepSize,
nonlinearRelativeEnergyTolerance));
////////////////////////////////////////////////////////////////////
// SOLVE
////////////////////////////////////////////////////////////////////
for (int refIndex=0; refIndex<numRefs; refIndex++)
{
solveStrategy->solve(rank==0); // print to console on rank 0
refinementStrategy->refine(rank==0); // print to console on rank 0
}
// solveStrategy->solve(rank==0);
if (rank==0)
{
backgroundFlow->writeToVTK("Burgers.vtu",min(H1Order+1,4));
solution->writeFluxesToFile(uhat->ID(), "burgers.dat");
cout << "wrote solution files" << endl;
}
return 0;
}
int main(int argc, char *argv[])
{
#ifdef HAVE_MPI
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
int rank=mpiSession.getRank();
int numProcs=mpiSession.getNProc();
#else
int rank = 0;
int numProcs = 1;
#endif
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactory varFactory;
VarPtr tau = varFactory.testVar("\\tau", HDIV);
VarPtr v = varFactory.testVar("v", HGRAD);
// define trial variables
VarPtr uhat = varFactory.traceVar("\\widehat{u}");
VarPtr beta_n_u_minus_sigma_n = varFactory.fluxVar("\\widehat{\\beta \\cdot n u - \\sigma_{n}}");
VarPtr u = varFactory.fieldVar("u");
VarPtr sigma1 = varFactory.fieldVar("\\sigma_1");
VarPtr sigma2 = varFactory.fieldVar("\\sigma_2");
vector<double> beta_const;
double c = sqrt(1.25);
beta_const.push_back(1.0/c);
beta_const.push_back(.5/c);
// FunctionPtr beta = Teuchos::rcp(new Beta());
double eps = 1e-3;
//////////////////// DEFINE BILINEAR FORM ///////////////////////
BFPtr confusionBF = Teuchos::rcp( new BF(varFactory) );
// tau terms:
confusionBF->addTerm(sigma1 / eps, tau->x());
confusionBF->addTerm(sigma2 / eps, tau->y());
confusionBF->addTerm(u, tau->div());
confusionBF->addTerm(-uhat, tau->dot_normal());
// v terms:
confusionBF->addTerm( sigma1, v->dx() );
confusionBF->addTerm( sigma2, v->dy() );
confusionBF->addTerm( beta_const * u, - v->grad() );
confusionBF->addTerm( beta_n_u_minus_sigma_n, v);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
// quasi-optimal norm
IPPtr qoptIP = Teuchos::rcp(new IP);
qoptIP->addTerm( v );
qoptIP->addTerm( tau / eps + v->grad() );
qoptIP->addTerm( beta_const * v->grad() - tau->div() );
// robust test norm
IPPtr robIP = Teuchos::rcp(new IP);
FunctionPtr ip_scaling = Teuchos::rcp( new EpsilonScaling(eps) );
if (enforceLocalConservation)
{
robIP->addZeroMeanTerm( v );
}
else
{
robIP->addTerm( ip_scaling * v );
}
robIP->addTerm( sqrt(eps) * v->grad() );
bool useNewBC = false;
FunctionPtr weight = Teuchos::rcp( new SqrtWeight(eps) );
if (useNewBC)
{
robIP->addTerm( beta_const * v->grad() );
robIP->addTerm( tau->div() );
robIP->addTerm( ip_scaling/sqrt(eps) * tau );
}
else
{
robIP->addTerm( weight * beta_const * v->grad() );
robIP->addTerm( weight * tau->div() );
robIP->addTerm( weight * ip_scaling/sqrt(eps) * tau );
}
//////////////////// SPECIFY RHS ///////////////////////
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
Teuchos::RCP<RHSEasy> rhs = Teuchos::rcp( new RHSEasy );
FunctionPtr f = zero;
rhs->addTerm( f * v ); // obviously, with f = 0 adding this term is not necessary!
//////////////////// CREATE BCs ///////////////////////
Teuchos::RCP<BCEasy> bc = Teuchos::rcp( new BCEasy );
SpatialFilterPtr inflowBoundary = Teuchos::rcp( new InflowSquareBoundary );
SpatialFilterPtr outflowBoundary = Teuchos::rcp( new OutflowSquareBoundary );
FunctionPtr u0 = Teuchos::rcp( new U0 );
FunctionPtr n = Teuchos::rcp( new UnitNormalFunction );
bc->addDirichlet(uhat, outflowBoundary, zero);
if (useNewBC)
{
bc->addDirichlet(beta_n_u_minus_sigma_n, inflowBoundary, beta_const*n*u0);
}
else
{
SpatialFilterPtr inflowBot = Teuchos::rcp( new InflowSquareBot );
SpatialFilterPtr inflowLeft = Teuchos::rcp( new InflowSquareLeft );
bc->addDirichlet(beta_n_u_minus_sigma_n, inflowLeft, beta_const*n*u0);
bc->addDirichlet(uhat, inflowBot, u0);
}
// Teuchos::RCP<PenaltyConstraints> pc = Teuchos::rcp(new PenaltyConstraints);
// pc->addConstraint(uhat==u0,inflowBoundary);
//////////////////// BUILD MESH ///////////////////////
// define nodes for mesh
int H1Order = 2, pToAdd = 2;
FieldContainer<double> quadPoints(4,2);
quadPoints(0,0) = 0.0; // x1
quadPoints(0,1) = 0.0; // y1
quadPoints(1,0) = 1.0;
quadPoints(1,1) = 0.0;
quadPoints(2,0) = 1.0;
quadPoints(2,1) = 1.0;
quadPoints(3,0) = 0.0;
quadPoints(3,1) = 1.0;
int nCells = 2;
int horizontalCells = nCells, verticalCells = nCells;
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = Mesh::buildQuadMesh(quadPoints, horizontalCells, verticalCells,
confusionBF, H1Order, H1Order+pToAdd);
//////////////////// SOLVE & REFINE ///////////////////////
Teuchos::RCP<Solution> solution = Teuchos::rcp( new Solution(mesh, bc, rhs, robIP) );
// solution->setFilter(pc);
if (enforceLocalConservation)
{
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
solution->lagrangeConstraints()->addConstraint(beta_n_u_minus_sigma_n == zero);
}
double energyThreshold = 0.2; // for mesh refinements
RefinementStrategy refinementStrategy( solution, energyThreshold );
int numRefs = 9;
for (int refIndex=0; refIndex<numRefs; refIndex++)
{
solution->solve(false);
refinementStrategy.refine(rank==0); // print to console on rank 0
}
// one more solve on the final refined mesh:
solution->solve(false);
if (rank==0)
{
solution->writeToVTK("Hughes.vtu",min(H1Order+1,4));
solution->writeFluxesToFile(uhat->ID(), "uhat.dat");
cout << "wrote files: u.m, uhat.dat\n";
}
return 0;
}
int main(int argc, char *argv[]) {
#ifdef HAVE_MPI
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
choice::MpiArgs args( argc, argv );
int rank=mpiSession.getRank();
int numProcs=mpiSession.getNProc();
#else
choice::Args args( argc, argv );
int rank = 0;
int numProcs = 1;
#endif
int nCells = args.Input<int>("--nCells", "num cells",2);
int numRefs = args.Input<int>("--numRefs","num adaptive refinements",0);
double eps = args.Input<double>("--epsilon","diffusion parameter",1e-2);
double energyThreshold = args.Input<double>("--energyThreshold","adaptivity thresh",.5);
if (rank==0){
cout << "nCells = " << nCells << ", numRefs = " << numRefs << ", eps = " << eps << endl;
}
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactory varFactory;
VarPtr tau = varFactory.testVar("\\tau", HDIV);
VarPtr v = varFactory.testVar("v", HGRAD);
// define trial variables
VarPtr uhat = varFactory.traceVar("\\widehat{u}");
VarPtr beta_n_u_minus_sigma_n = varFactory.fluxVar("\\widehat{\\beta \\cdot n u - \\sigma_{n}}");
VarPtr u = varFactory.fieldVar("u");
VarPtr sigma1 = varFactory.fieldVar("\\sigma_1");
VarPtr sigma2 = varFactory.fieldVar("\\sigma_2");
vector<double> beta;
beta.push_back(1.0);
beta.push_back(0.0);
//////////////////// DEFINE BILINEAR FORM ///////////////////////
BFPtr confusionBF = Teuchos::rcp( new BF(varFactory) );
// tau terms:
confusionBF->addTerm(sigma1 / eps, tau->x());
confusionBF->addTerm(sigma2 / eps, tau->y());
confusionBF->addTerm(u, tau->div());
confusionBF->addTerm(uhat, -tau->dot_normal());
// v terms:
confusionBF->addTerm( sigma1, v->dx() );
confusionBF->addTerm( sigma2, v->dy() );
confusionBF->addTerm( -u, beta * v->grad() );
confusionBF->addTerm( beta_n_u_minus_sigma_n, v);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
// quasi-optimal norm
IPPtr qoptIP = Teuchos::rcp(new IP);
qoptIP->addTerm( v );
qoptIP->addTerm( tau / eps + v->grad() );
qoptIP->addTerm( beta * v->grad() - tau->div() );
// robust test norm
IPPtr robIP = Teuchos::rcp(new IP);
FunctionPtr ip_scaling = Teuchos::rcp( new EpsilonScaling(eps) );
FunctionPtr invSqrtH = Teuchos::rcp(new InvSqrtHScaling);
robIP->addTerm( ip_scaling * v);
robIP->addTerm( ip_scaling/sqrt(eps) * tau );
robIP->addTerm( sqrt(eps) * v->grad() );
robIP->addTerm( beta * v->grad() );
robIP->addTerm( tau->div() );
/*
robIP->addTerm(v);
robIP->addTerm(v->grad());
robIP->addTerm(tau->div());
robIP->addTerm(invSqrtH*tau);
*/
FunctionPtr h2_scaling = Teuchos::rcp( new ZeroMeanScaling ); // see what effect this has
// robIP->addZeroMeanTerm( h2_scaling*v );
//////////////////// SPECIFY RHS ///////////////////////
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
Teuchos::RCP<RHSEasy> rhs = Teuchos::rcp( new RHSEasy );
// FunctionPtr f = zero;
// rhs->addTerm( f * v ); // obviously, with f = 0 adding this term is not necessary!
//////////////////// CREATE BCs ///////////////////////
Teuchos::RCP<BCEasy> bc = Teuchos::rcp( new BCEasy );
// SpatialFilterPtr inflowBoundary = Teuchos::rcp( new InflowSquareBoundary(beta) );
SpatialFilterPtr inflowBoundary = Teuchos::rcp( new InflowSquareBoundary );
SpatialFilterPtr outflowBoundary = Teuchos::rcp( new OutflowSquareBoundary);
FunctionPtr u_exact = Teuchos::rcp( new Uex(eps,0) );
FunctionPtr sig1_exact = Teuchos::rcp( new Uex(eps,1) );
FunctionPtr sig2_exact = Teuchos::rcp( new Uex(eps,2) );
FunctionPtr n = Teuchos::rcp( new UnitNormalFunction );
vector<double> e1(2); // (1,0)
vector<double> e2(2); // (0,1)
e1[0] = 1;
e2[1] = 1;
FunctionPtr sigma = sig1_exact*e1 + sig2_exact*e2;
bc->addDirichlet(uhat, outflowBoundary, zero);
bc->addDirichlet(beta_n_u_minus_sigma_n, inflowBoundary, beta*n*u_exact-sigma*n);
// bc->addDirichlet(beta_n_u_minus_sigma_n, inflowBoundary, beta*n*u_exact); // ignoring sigma
FunctionPtr u_disc = Teuchos::rcp( new Udisc );
// bc->addDirichlet(beta_n_u_minus_sigma_n, inflowBoundary, beta*n*u_disc);
// bc->addDirichlet(uhat, inflowBoundary, u_exact);
//////////////////// BUILD MESH ///////////////////////
// define nodes for mesh
int H1Order = 2, pToAdd = 3;
int horizontalCells = nCells, verticalCells = nCells;
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = MeshUtilities::buildUnitQuadMesh(nCells,confusionBF, H1Order, H1Order+pToAdd);
//////////////////// SOLVE & REFINE ///////////////////////
Teuchos::RCP<Solution> solution;
solution = Teuchos::rcp( new Solution(mesh, bc, rhs, robIP) );
// solution = Teuchos::rcp( new Solution(mesh, bc, rhs, qoptIP) );
if (enforceLocalConservation) {
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
solution->lagrangeConstraints()->addConstraint(beta_n_u_minus_sigma_n == zero);
}
RefinementStrategy refinementStrategy( solution, energyThreshold );
ofstream convOut;
stringstream convOutFile;
convOutFile << "erickson_conv_" << round(-log(eps)/log(10.0)) <<".txt";
convOut.open(convOutFile.str().c_str());
for (int refIndex=0; refIndex < numRefs; refIndex++){
solution->condensedSolve(false);
// solution->solve(false);
double quadTol = 1e-7;
int cubEnrich = 25;
FunctionPtr u_soln = Teuchos::rcp( new PreviousSolutionFunction(solution, u) );
FunctionPtr sigma1_soln = Teuchos::rcp( new PreviousSolutionFunction(solution, sigma1) );
FunctionPtr sigma2_soln = Teuchos::rcp( new PreviousSolutionFunction(solution, sigma2) );
FunctionPtr u_diff = (u_soln - u_exact)*(u_soln - u_exact);
FunctionPtr sig1_diff = (sigma1_soln - sig1_exact)*(sigma1_soln - sig1_exact);
FunctionPtr sig2_diff = (sigma2_soln - sig2_exact)*(sigma2_soln - sig2_exact);
double u_L2_error = u_diff->integrate(mesh,cubEnrich);
double sigma_L2_error = sig1_diff->integrate(mesh,cubEnrich) + sig2_diff->integrate(mesh,cubEnrich);
double L2_error = sqrt(u_L2_error + sigma_L2_error);
double energy_error = solution->energyErrorTotal();
u_soln->writeValuesToMATLABFile(mesh, "u_soln.m");
u_diff->writeValuesToMATLABFile(mesh, "u_diff.m");
u_exact->writeValuesToMATLABFile(mesh, "u_exact.m");
sig1_exact->writeValuesToMATLABFile(mesh, "s1_exact.m");
sig2_exact->writeValuesToMATLABFile(mesh, "s2_exact.m");
convOut << mesh->numGlobalDofs() << " " << L2_error << " " << energy_error << endl;
if (rank==0){
cout << "L2 error = " << L2_error << ", energy error = " << energy_error << ", ratio = " << L2_error/energy_error << endl;
cout << "u squared L2 error = " << u_L2_error << ", sigma squared l2 error = " << sigma_L2_error << ", num dofs = " << mesh->numGlobalDofs() << endl;
}
refinementStrategy.refine(rank==0); // print to console on rank 0
}
convOut.close();
// one more solve on the final refined mesh:
solution->condensedSolve(false);
VTKExporter exporter(solution, mesh, varFactory);
if (rank==0){
exporter.exportSolution("robustIP");
cout << endl;
}
return 0;
/*
// determine trialIDs
vector< int > trialIDs = mesh->bilinearForm()->trialIDs();
vector< int > fieldIDs;
vector< int > fluxIDs;
vector< int >::iterator idIt;
for (idIt = trialIDs.begin();idIt!=trialIDs.end();idIt++){
int trialID = *(idIt);
if (!mesh->bilinearForm()->isFluxOrTrace(trialID)){ // if field
fieldIDs.push_back(trialID);
} else {
fluxIDs.push_back(trialID);
}
}
int numFieldInds = 0;
map<int,vector<int> > globalFluxInds; // from cellID to localDofInd vector
map<int,vector<int> > globalFieldInds; // from cellID to localDofInd vector
map<int,vector<int> > localFieldInds; // from cellID to localDofInd vector
map<int,vector<int> > localFluxInds; // from cellID to localDofInd vector
set<int> allFluxInds; // unique set of all flux inds
mesh->getDofIndices(allFluxInds,globalFluxInds,globalFieldInds,localFluxInds,localFieldInds);
if (rank==0){
vector< ElementPtr > activeElems = mesh->activeElements();
vector< ElementPtr >::iterator elemIt;
cout << "num flux dofs = " << allFluxInds.size() << endl;
cout << "num field dofs = " << mesh->numFieldDofs() << endl;
cout << "num flux dofs = " << mesh->numFluxDofs() << endl;
elemIt = activeElems.begin();
int cellID = (*elemIt)->cellID();
cout << "num LOCAL field dofs = " << localFieldInds[cellID].size() << endl;
ofstream fieldInds;
fieldInds.open("fieldInds.dat");
for (elemIt = activeElems.begin();elemIt!=activeElems.end();elemIt++){
int cellID = (*elemIt)->cellID();
vector<int> inds = globalFieldInds[cellID];
vector<int> locFieldInds = localFieldInds[cellID];
cout << "local field inds for cell ID " << cellID << endl;
for (int i = 0;i<inds.size();++i){
fieldInds << inds[i]+1 << endl;
cout << locFieldInds[i] << endl;
}
vector<int> finds = globalFluxInds[cellID];
vector<int> locFluxInds = localFluxInds[cellID];
cout << "local flux inds for cell ID " << cellID << endl;
for (int i = 0;i<finds.size();++i){
cout << locFluxInds[i] << endl;
}
cout << "global flux inds for cell ID " << cellID << endl;
for (int i = 0;i<finds.size();++i){
cout << globalFluxInds[cellID][i] << endl;
}
}
fieldInds.close();
ofstream fluxInds;
fluxInds.open("fluxInds.dat");
set<int>::iterator fluxIt;
for (fluxIt = allFluxInds.begin();fluxIt!=allFluxInds.end();fluxIt++){
fluxInds << (*fluxIt)+1 << endl; // offset by 1 for matlab
}
fluxInds.close();
}
return 0;
*/
}
int main(int argc, char *argv[])
{
// Process command line arguments
if (argc > 1)
numRefs = atof(argv[1]);
#ifdef HAVE_MPI
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
int rank=mpiSession.getRank();
int numProcs=mpiSession.getNProc();
#else
int rank = 0;
int numProcs = 1;
#endif
FunctionPtr beta = Teuchos::rcp(new Beta());
////////////////////////////////////////////////////////////////////
// DEFINE VARIABLES
////////////////////////////////////////////////////////////////////
// test variables
VarFactory varFactory;
VarPtr tau = varFactory.testVar("\\tau", HDIV);
VarPtr v = varFactory.testVar("v", HGRAD);
// trial variables
VarPtr uhat = varFactory.traceVar("\\widehat{u}");
VarPtr beta_n_u_minus_sigma_n = varFactory.fluxVar("\\widehat{\\beta \\cdot n u - \\sigma_{n}}");
VarPtr u = varFactory.fieldVar("u");
VarPtr sigma1 = varFactory.fieldVar("\\sigma_1");
VarPtr sigma2 = varFactory.fieldVar("\\sigma_2");
////////////////////////////////////////////////////////////////////
// CREATE MESH
////////////////////////////////////////////////////////////////////
BFPtr confusionBF = Teuchos::rcp( new BF(varFactory) );
FieldContainer<double> meshBoundary(4,2);
meshBoundary(0,0) = 0.0; // x1
meshBoundary(0,1) = -2.0; // y1
meshBoundary(1,0) = 4.0;
meshBoundary(1,1) = -2.0;
meshBoundary(2,0) = 4.0;
meshBoundary(2,1) = 2.0;
meshBoundary(3,0) = 0.0;
meshBoundary(3,1) = 2.0;
int horizontalCells = 4, verticalCells = 4;
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = Mesh::buildQuadMesh(meshBoundary, horizontalCells, verticalCells,
confusionBF, H1Order, H1Order+pToAdd, false);
////////////////////////////////////////////////////////////////////
// INITIALIZE BACKGROUND FLOW FUNCTIONS
////////////////////////////////////////////////////////////////////
BCPtr nullBC = Teuchos::rcp((BC*)NULL);
RHSPtr nullRHS = Teuchos::rcp((RHS*)NULL);
IPPtr nullIP = Teuchos::rcp((IP*)NULL);
SolutionPtr prevTimeFlow = Teuchos::rcp(new Solution(mesh, nullBC, nullRHS, nullIP) );
SolutionPtr flowResidual = Teuchos::rcp(new Solution(mesh, nullBC, nullRHS, nullIP) );
FunctionPtr u_prev_time = Teuchos::rcp( new PreviousSolutionFunction(prevTimeFlow, u) );
// ==================== SET INITIAL GUESS ==========================
double u_free = 0.0;
double sigma1_free = 0.0;
double sigma2_free = 0.0;
map<int, Teuchos::RCP<Function> > functionMap;
functionMap[u->ID()] = Teuchos::rcp( new ConstantScalarFunction(u_free) );
functionMap[sigma1->ID()] = Teuchos::rcp( new ConstantScalarFunction(sigma1_free) );
functionMap[sigma2->ID()] = Teuchos::rcp( new ConstantScalarFunction(sigma2_free) );
prevTimeFlow->projectOntoMesh(functionMap);
// ==================== END SET INITIAL GUESS ==========================
////////////////////////////////////////////////////////////////////
// DEFINE BILINEAR FORM
////////////////////////////////////////////////////////////////////
// tau terms:
confusionBF->addTerm(sigma1 / epsilon, tau->x());
confusionBF->addTerm(sigma2 / epsilon, tau->y());
confusionBF->addTerm(u, tau->div());
confusionBF->addTerm(-uhat, tau->dot_normal());
// v terms:
confusionBF->addTerm( sigma1, v->dx() );
confusionBF->addTerm( sigma2, v->dy() );
confusionBF->addTerm( beta * u, - v->grad() );
confusionBF->addTerm( beta_n_u_minus_sigma_n, v);
////////////////////////////////////////////////////////////////////
// TIMESTEPPING TERMS
////////////////////////////////////////////////////////////////////
Teuchos::RCP<RHSEasy> rhs = Teuchos::rcp( new RHSEasy );
double dt = 0.25;
FunctionPtr invDt = Teuchos::rcp(new ScalarParamFunction(1.0/dt));
if (rank==0)
{
cout << "Timestep dt = " << dt << endl;
}
if (transient)
{
confusionBF->addTerm( u, invDt*v );
rhs->addTerm( u_prev_time * invDt * v );
}
////////////////////////////////////////////////////////////////////
// DEFINE INNER PRODUCT
////////////////////////////////////////////////////////////////////
// mathematician's norm
IPPtr mathIP = Teuchos::rcp(new IP());
mathIP->addTerm(tau);
mathIP->addTerm(tau->div());
mathIP->addTerm(v);
mathIP->addTerm(v->grad());
// quasi-optimal norm
IPPtr qoptIP = Teuchos::rcp(new IP);
qoptIP->addTerm( v );
qoptIP->addTerm( tau / epsilon + v->grad() );
qoptIP->addTerm( beta * v->grad() - tau->div() );
// robust test norm
IPPtr robIP = Teuchos::rcp(new IP);
FunctionPtr ip_scaling = Teuchos::rcp( new EpsilonScaling(epsilon) );
if (!enforceLocalConservation)
{
robIP->addTerm( ip_scaling * v );
if (transient)
robIP->addTerm( invDt * v );
}
robIP->addTerm( sqrt(epsilon) * v->grad() );
// Weight these two terms for inflow
FunctionPtr ip_weight = Teuchos::rcp( new IPWeight() );
robIP->addTerm( ip_weight * beta * v->grad() );
robIP->addTerm( ip_weight * tau->div() );
robIP->addTerm( ip_scaling/sqrt(epsilon) * tau );
if (enforceLocalConservation)
robIP->addZeroMeanTerm( v );
////////////////////////////////////////////////////////////////////
// DEFINE RHS
////////////////////////////////////////////////////////////////////
FunctionPtr f = Teuchos::rcp( new ConstantScalarFunction(0.0) );
rhs->addTerm( f * v ); // obviously, with f = 0 adding this term is not necessary!
////////////////////////////////////////////////////////////////////
// DEFINE BC
////////////////////////////////////////////////////////////////////
Teuchos::RCP<BCEasy> bc = Teuchos::rcp( new BCEasy );
// Teuchos::RCP<PenaltyConstraints> pc = Teuchos::rcp( new PenaltyConstraints );
SpatialFilterPtr lBoundary = Teuchos::rcp( new LeftBoundary );
SpatialFilterPtr tbBoundary = Teuchos::rcp( new TopBottomBoundary );
SpatialFilterPtr rBoundary = Teuchos::rcp( new RightBoundary );
FunctionPtr u0 = Teuchos::rcp( new ZeroBC );
FunctionPtr u_inlet = Teuchos::rcp( new InletBC );
// FunctionPtr n = Teuchos::rcp( new UnitNormalFunction );
bc->addDirichlet(beta_n_u_minus_sigma_n, lBoundary, u_inlet);
bc->addDirichlet(beta_n_u_minus_sigma_n, tbBoundary, u0);
bc->addDirichlet(uhat, rBoundary, u0);
// pc->addConstraint(beta_n_u_minus_sigma_n - uhat == u0, rBoundary);
////////////////////////////////////////////////////////////////////
// CREATE SOLUTION OBJECT
////////////////////////////////////////////////////////////////////
Teuchos::RCP<Solution> solution = Teuchos::rcp( new Solution(mesh, bc, rhs, robIP) );
// solution->setFilter(pc);
// ==================== Enforce Local Conservation ==================
if (enforceLocalConservation)
{
if (transient)
{
FunctionPtr conserved_rhs = u_prev_time * invDt;
LinearTermPtr conserved_quantity = invDt * u;
LinearTermPtr flux_part = Teuchos::rcp(new LinearTerm(-1.0, beta_n_u_minus_sigma_n));
conserved_quantity->addTerm(flux_part, true);
// conserved_quantity = conserved_quantity - beta_n_u_minus_sigma_n;
solution->lagrangeConstraints()->addConstraint(conserved_quantity == conserved_rhs);
}
else
{
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
solution->lagrangeConstraints()->addConstraint(beta_n_u_minus_sigma_n == zero);
}
}
// ==================== Register Solutions ==========================
mesh->registerSolution(solution);
mesh->registerSolution(prevTimeFlow); // u_t(i-1)
mesh->registerSolution(flowResidual); // u_t(i-1)
double energyThreshold = 0.25; // for mesh refinements
Teuchos::RCP<RefinementStrategy> refinementStrategy;
refinementStrategy = Teuchos::rcp(new RefinementStrategy(solution,energyThreshold));
////////////////////////////////////////////////////////////////////
// PSEUDO-TIME SOLVE STRATEGY
////////////////////////////////////////////////////////////////////
double time_tol = 1e-8;
for (int refIndex=0; refIndex<=numRefs; refIndex++)
{
double L2_time_residual = 1e7;
int timestepCount = 0;
if (!transient)
numTimeSteps = 1;
while((L2_time_residual > time_tol) && (timestepCount < numTimeSteps))
{
solution->solve(false);
// subtract solutions to get residual
flowResidual->setSolution(solution); // reset previous time solution to current time sol
flowResidual->addSolution(prevTimeFlow, -1.0);
double L2u = flowResidual->L2NormOfSolutionGlobal(u->ID());
double L2sigma1 = flowResidual->L2NormOfSolutionGlobal(sigma1->ID());
double L2sigma2 = flowResidual->L2NormOfSolutionGlobal(sigma2->ID());
L2_time_residual = sqrt(L2u*L2u + L2sigma1*L2sigma1 + L2sigma2*L2sigma2);
cout << endl << "Timestep: " << timestepCount << ", dt = " << dt << ", Time residual = " << L2_time_residual << endl;
if (rank == 0)
{
stringstream outfile;
if (transient)
outfile << "TransientConfusion_" << refIndex << "_" << timestepCount;
else
outfile << "TransientConfusion_" << refIndex;
solution->writeToVTK(outfile.str(), 5);
}
//////////////////////////////////////////////////////////////////////////
// Check conservation by testing against one
//////////////////////////////////////////////////////////////////////////
VarPtr testOne = varFactory.testVar("1", CONSTANT_SCALAR);
// Create a fake bilinear form for the testing
BFPtr fakeBF = Teuchos::rcp( new BF(varFactory) );
// Define our mass flux
FunctionPtr flux_current_time = Teuchos::rcp( new PreviousSolutionFunction(solution, beta_n_u_minus_sigma_n) );
FunctionPtr delta_u = Teuchos::rcp( new PreviousSolutionFunction(flowResidual, u) );
LinearTermPtr surfaceFlux = -1.0 * flux_current_time * testOne;
LinearTermPtr volumeChange = invDt * delta_u * testOne;
LinearTermPtr massFluxTerm;
if (transient)
{
massFluxTerm = volumeChange;
// massFluxTerm->addTerm(surfaceFlux);
}
else
{
massFluxTerm = surfaceFlux;
}
// cout << "surface case = " << surfaceFlux->summands()[0].first->boundaryValueOnly() << " volume case = " << volumeChange->summands()[0].first->boundaryValueOnly() << endl;
// FunctionPtr massFlux= Teuchos::rcp( new PreviousSolutionFunction(solution, beta_n_u_minus_sigma_n) );
// LinearTermPtr massFluxTerm = massFlux * testOne;
Teuchos::RCP<shards::CellTopology> quadTopoPtr = Teuchos::rcp(new shards::CellTopology(shards::getCellTopologyData<shards::Quadrilateral<4> >() ));
DofOrderingFactory dofOrderingFactory(fakeBF);
int fakeTestOrder = H1Order;
DofOrderingPtr testOrdering = dofOrderingFactory.testOrdering(fakeTestOrder, *quadTopoPtr);
int testOneIndex = testOrdering->getDofIndex(testOne->ID(),0);
vector< ElementTypePtr > elemTypes = mesh->elementTypes(); // global element types
map<int, double> massFluxIntegral; // cellID -> integral
double maxMassFluxIntegral = 0.0;
double totalMassFlux = 0.0;
double totalAbsMassFlux = 0.0;
for (vector< ElementTypePtr >::iterator elemTypeIt = elemTypes.begin(); elemTypeIt != elemTypes.end(); elemTypeIt++)
{
ElementTypePtr elemType = *elemTypeIt;
vector< ElementPtr > elems = mesh->elementsOfTypeGlobal(elemType);
vector<int> cellIDs;
for (int i=0; i<elems.size(); i++)
{
cellIDs.push_back(elems[i]->cellID());
}
FieldContainer<double> physicalCellNodes = mesh->physicalCellNodesGlobal(elemType);
BasisCachePtr basisCache = Teuchos::rcp( new BasisCache(elemType,mesh) );
basisCache->setPhysicalCellNodes(physicalCellNodes,cellIDs,true); // true: create side caches
FieldContainer<double> cellMeasures = basisCache->getCellMeasures();
FieldContainer<double> fakeRHSIntegrals(elems.size(),testOrdering->totalDofs());
massFluxTerm->integrate(fakeRHSIntegrals,testOrdering,basisCache,true); // true: force side evaluation
for (int i=0; i<elems.size(); i++)
{
int cellID = cellIDs[i];
// pick out the ones for testOne:
massFluxIntegral[cellID] = fakeRHSIntegrals(i,testOneIndex);
}
// find the largest:
for (int i=0; i<elems.size(); i++)
{
int cellID = cellIDs[i];
maxMassFluxIntegral = max(abs(massFluxIntegral[cellID]), maxMassFluxIntegral);
}
for (int i=0; i<elems.size(); i++)
{
int cellID = cellIDs[i];
maxMassFluxIntegral = max(abs(massFluxIntegral[cellID]), maxMassFluxIntegral);
totalMassFlux += massFluxIntegral[cellID];
totalAbsMassFlux += abs( massFluxIntegral[cellID] );
}
}
// Print results from processor with rank 0
if (rank == 0)
{
cout << "largest mass flux: " << maxMassFluxIntegral << endl;
cout << "total mass flux: " << totalMassFlux << endl;
cout << "sum of mass flux absolute value: " << totalAbsMassFlux << endl;
}
prevTimeFlow->setSolution(solution); // reset previous time solution to current time sol
timestepCount++;
}
if (refIndex < numRefs)
{
if (rank==0)
{
cout << "Performing refinement number " << refIndex << endl;
}
refinementStrategy->refine(rank==0);
// RESET solution every refinement - make sure discretization error doesn't creep in
// prevTimeFlow->projectOntoMesh(functionMap);
}
}
return 0;
}
int main(int argc, char *argv[])
{
#ifdef HAVE_MPI
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
int rank=mpiSession.getRank();
int numProcs=mpiSession.getNProc();
#else
int rank = 0;
int numProcs = 1;
#endif
int polyOrder = 3;
int pToAdd = 2; // for tests
// define our manufactured solution or problem bilinear form:
bool useTriangles = false;
FieldContainer<double> meshPoints(4,2);
meshPoints(0,0) = 0.0; // x1
meshPoints(0,1) = 0.0; // y1
meshPoints(1,0) = 1.0;
meshPoints(1,1) = 0.0;
meshPoints(2,0) = 1.0;
meshPoints(2,1) = 1.0;
meshPoints(3,0) = 0.0;
meshPoints(3,1) = 1.0;
int H1Order = polyOrder + 1;
int horizontalCells = 4, verticalCells = 4;
double energyThreshold = 0.2; // for mesh refinements
double nonlinearStepSize = 0.5;
double nonlinearRelativeEnergyTolerance = 1e-8; // used to determine convergence of the nonlinear solution
////////////////////////////////////////////////////////////////////
// DEFINE VARIABLES
////////////////////////////////////////////////////////////////////
// new-style bilinear form definition
VarFactory varFactory;
VarPtr fhat = varFactory.fluxVar("\\widehat{f}");
VarPtr u = varFactory.fieldVar("u");
VarPtr v = varFactory.testVar("v",HGRAD);
BFPtr bf = Teuchos::rcp( new BF(varFactory) ); // initialize bilinear form
////////////////////////////////////////////////////////////////////
// CREATE MESH
////////////////////////////////////////////////////////////////////
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = Mesh::buildQuadMesh(meshPoints, horizontalCells,
verticalCells, bf, H1Order,
H1Order+pToAdd, useTriangles);
mesh->setPartitionPolicy(Teuchos::rcp(new ZoltanMeshPartitionPolicy("HSFC")));
////////////////////////////////////////////////////////////////////
// INITIALIZE BACKGROUND FLOW FUNCTIONS
////////////////////////////////////////////////////////////////////
BCPtr nullBC = Teuchos::rcp((BC*)NULL);
RHSPtr nullRHS = Teuchos::rcp((RHS*)NULL);
IPPtr nullIP = Teuchos::rcp((IP*)NULL);
SolutionPtr backgroundFlow = Teuchos::rcp(new Solution(mesh, nullBC,
nullRHS, nullIP) );
vector<double> e1(2); // (1,0)
e1[0] = 1;
vector<double> e2(2); // (0,1)
e2[1] = 1;
FunctionPtr u_prev = Teuchos::rcp( new PreviousSolutionFunction(backgroundFlow, u) );
FunctionPtr beta = e1 * u_prev + Teuchos::rcp( new ConstantVectorFunction( e2 ) );
////////////////////////////////////////////////////////////////////
// DEFINE BILINEAR FORM
////////////////////////////////////////////////////////////////////
// v:
// (sigma, grad v)_K - (sigma_hat_n, v)_dK - (u, beta dot grad v) + (u_hat * n dot beta, v)_dK
bf->addTerm( -u, beta * v->grad());
bf->addTerm( fhat, v);
// ==================== SET INITIAL GUESS ==========================
mesh->registerSolution(backgroundFlow);
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
FunctionPtr u0 = Teuchos::rcp( new U0 );
map<int, Teuchos::RCP<Function> > functionMap;
functionMap[u->ID()] = u0;
backgroundFlow->projectOntoMesh(functionMap);
// ==================== END SET INITIAL GUESS ==========================
////////////////////////////////////////////////////////////////////
// DEFINE INNER PRODUCT
////////////////////////////////////////////////////////////////////
IPPtr ip = Teuchos::rcp( new IP );
ip->addTerm( v );
ip->addTerm( beta * v->grad() );
////////////////////////////////////////////////////////////////////
// DEFINE RHS
////////////////////////////////////////////////////////////////////
Teuchos::RCP<RHSEasy> rhs = Teuchos::rcp( new RHSEasy );
FunctionPtr u_prev_squared_div2 = 0.5 * u_prev * u_prev;
rhs->addTerm( (e1 * u_prev_squared_div2 + e2 * u_prev) * v->grad());
////////////////////////////////////////////////////////////////////
// DEFINE DIRICHLET BC
////////////////////////////////////////////////////////////////////
Teuchos::RCP<BCEasy> inflowBC = Teuchos::rcp( new BCEasy );
// Create spatial filters
SpatialFilterPtr bottomBoundary = Teuchos::rcp( new BottomBoundary );
SpatialFilterPtr leftBoundary = Teuchos::rcp( new LeftBoundary );
SpatialFilterPtr rightBoundary = Teuchos::rcp( new LeftBoundary );
// Create BCs
FunctionPtr n = Teuchos::rcp( new UnitNormalFunction );
FunctionPtr u0_squared_div_2 = 0.5 * u0 * u0;
SimpleFunction* u0Ptr = static_cast<SimpleFunction *>(u0.get());
double u0Left = u0Ptr->value(0,0);
double u0Right = u0Ptr->value(1.0,0);
FunctionPtr leftVal = Teuchos::rcp( new ConstantScalarFunction( -0.5*u0Left*u0Left ) );
FunctionPtr rightVal = Teuchos::rcp( new ConstantScalarFunction( 0.5*u0Right*u0Right ) );
inflowBC->addDirichlet(fhat, bottomBoundary, -u0 );
inflowBC->addDirichlet(fhat, leftBoundary, leftVal );
inflowBC->addDirichlet(fhat, rightBoundary, rightVal );
////////////////////////////////////////////////////////////////////
// CREATE SOLUTION OBJECT
////////////////////////////////////////////////////////////////////
Teuchos::RCP<Solution> solution = Teuchos::rcp(new Solution(mesh, inflowBC, rhs, ip));
mesh->registerSolution(solution);
if (enforceLocalConservation)
{
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
solution->lagrangeConstraints()->addConstraint(fhat == zero);
}
////////////////////////////////////////////////////////////////////
// DEFINE REFINEMENT STRATEGY
////////////////////////////////////////////////////////////////////
Teuchos::RCP<RefinementStrategy> refinementStrategy;
refinementStrategy = Teuchos::rcp(new RefinementStrategy(solution,energyThreshold));
////////////////////////////////////////////////////////////////////
// SOLVE
////////////////////////////////////////////////////////////////////
for (int refIndex=0; refIndex<=numRefs; refIndex++)
{
double L2Update = 1e7;
int iterCount = 0;
while (L2Update > nonlinearRelativeEnergyTolerance && iterCount < maxNewtonIterations)
{
solution->solve();
L2Update = solution->L2NormOfSolutionGlobal(u->ID());
cout << "L2 Norm of Update = " << L2Update << endl;
// backgroundFlow->clear();
backgroundFlow->addSolution(solution, newtonStepSize);
iterCount++;
}
cout << endl;
// check conservation
VarPtr testOne = varFactory.testVar("1", CONSTANT_SCALAR);
// Create a fake bilinear form for the testing
BFPtr fakeBF = Teuchos::rcp( new BF(varFactory) );
// Define our mass flux
FunctionPtr massFlux = Teuchos::rcp( new PreviousSolutionFunction(solution, fhat) );
LinearTermPtr massFluxTerm = massFlux * testOne;
Teuchos::RCP<shards::CellTopology> quadTopoPtr = Teuchos::rcp(new shards::CellTopology(shards::getCellTopologyData<shards::Quadrilateral<4> >() ));
DofOrderingFactory dofOrderingFactory(fakeBF);
int fakeTestOrder = H1Order;
DofOrderingPtr testOrdering = dofOrderingFactory.testOrdering(fakeTestOrder, *quadTopoPtr);
int testOneIndex = testOrdering->getDofIndex(testOne->ID(),0);
vector< ElementTypePtr > elemTypes = mesh->elementTypes(); // global element types
map<int, double> massFluxIntegral; // cellID -> integral
double maxMassFluxIntegral = 0.0;
double totalMassFlux = 0.0;
double totalAbsMassFlux = 0.0;
for (vector< ElementTypePtr >::iterator elemTypeIt = elemTypes.begin(); elemTypeIt != elemTypes.end(); elemTypeIt++)
{
ElementTypePtr elemType = *elemTypeIt;
vector< ElementPtr > elems = mesh->elementsOfTypeGlobal(elemType);
vector<int> cellIDs;
for (int i=0; i<elems.size(); i++)
{
cellIDs.push_back(elems[i]->cellID());
}
FieldContainer<double> physicalCellNodes = mesh->physicalCellNodesGlobal(elemType);
BasisCachePtr basisCache = Teuchos::rcp( new BasisCache(elemType,mesh) );
basisCache->setPhysicalCellNodes(physicalCellNodes,cellIDs,true); // true: create side caches
FieldContainer<double> cellMeasures = basisCache->getCellMeasures();
FieldContainer<double> fakeRHSIntegrals(elems.size(),testOrdering->totalDofs());
massFluxTerm->integrate(fakeRHSIntegrals,testOrdering,basisCache,true); // true: force side evaluation
for (int i=0; i<elems.size(); i++)
{
int cellID = cellIDs[i];
// pick out the ones for testOne:
massFluxIntegral[cellID] = fakeRHSIntegrals(i,testOneIndex);
}
// find the largest:
for (int i=0; i<elems.size(); i++)
{
int cellID = cellIDs[i];
maxMassFluxIntegral = max(abs(massFluxIntegral[cellID]), maxMassFluxIntegral);
}
for (int i=0; i<elems.size(); i++)
{
int cellID = cellIDs[i];
maxMassFluxIntegral = max(abs(massFluxIntegral[cellID]), maxMassFluxIntegral);
totalMassFlux += massFluxIntegral[cellID];
totalAbsMassFlux += abs( massFluxIntegral[cellID] );
}
}
if (rank==0)
{
cout << endl;
cout << "largest mass flux: " << maxMassFluxIntegral << endl;
cout << "total mass flux: " << totalMassFlux << endl;
cout << "sum of mass flux absolute value: " << totalAbsMassFlux << endl;
cout << endl;
stringstream outfile;
outfile << "burgers_" << refIndex;
backgroundFlow->writeToVTK(outfile.str(), 5);
}
if (refIndex < numRefs)
refinementStrategy->refine(rank==0); // print to console on rank 0
}
return 0;
}
int main(int argc, char *argv[]) {
int rank = 0;
#ifdef HAVE_MPI
// TODO: figure out the right thing to do here...
// may want to modify argc and argv before we make the following call:
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
rank=mpiSession.getRank();
#else
#endif
bool useLineSearch = false;
int pToAdd = 2; // for optimal test function approximation
int pToAddForStreamFunction = 2;
double nonlinearStepSize = 1.0;
double dt = 0.5;
double nonlinearRelativeEnergyTolerance = 0.015; // used to determine convergence of the nonlinear solution
// double nonlinearRelativeEnergyTolerance = 0.15; // used to determine convergence of the nonlinear solution
double eps = 1.0/64.0; // width of ramp up to 1.0 for top BC; eps == 0 ==> soln not in H1
// epsilon above is chosen to match our initial 16x16 mesh, to avoid quadrature errors.
// double eps = 0.0; // John Evans's problem: not in H^1
bool enforceLocalConservation = false;
bool enforceOneIrregularity = true;
bool reportPerCellErrors = true;
bool useMumps = true;
int horizontalCells, verticalCells;
int maxIters = 50; // for nonlinear steps
vector<double> ReValues;
// usage: polyOrder [numRefinements]
// parse args:
if (argc < 6) {
cout << "Usage: NavierStokesCavityFlowContinuationFixedMesh fieldPolyOrder hCells vCells energyErrorGoal Re0 [Re1 ...]\n";
return -1;
}
int polyOrder = atoi(argv[1]);
horizontalCells = atoi(argv[2]);
verticalCells = atoi(argv[3]);
double energyErrorGoal = atof(argv[4]);
for (int i=5; i<argc; i++) {
ReValues.push_back(atof(argv[i]));
}
if (rank == 0) {
cout << "L^2 order: " << polyOrder << endl;
cout << "initial mesh size: " << horizontalCells << " x " << verticalCells << endl;
cout << "energy error goal: " << energyErrorGoal << endl;
cout << "Reynolds number values for continuation:\n";
for (int i=0; i<ReValues.size(); i++) {
cout << ReValues[i] << ", ";
}
cout << endl;
}
FieldContainer<double> quadPoints(4,2);
quadPoints(0,0) = 0.0; // x1
quadPoints(0,1) = 0.0; // y1
quadPoints(1,0) = 1.0;
quadPoints(1,1) = 0.0;
quadPoints(2,0) = 1.0;
quadPoints(2,1) = 1.0;
quadPoints(3,0) = 0.0;
quadPoints(3,1) = 1.0;
// define meshes:
int H1Order = polyOrder + 1;
bool useTriangles = false;
bool meshHasTriangles = useTriangles;
double minL2Increment = 1e-8;
// get variable definitions:
VarFactory varFactory = VGPStokesFormulation::vgpVarFactory();
u1 = varFactory.fieldVar(VGP_U1_S);
u2 = varFactory.fieldVar(VGP_U2_S);
sigma11 = varFactory.fieldVar(VGP_SIGMA11_S);
sigma12 = varFactory.fieldVar(VGP_SIGMA12_S);
sigma21 = varFactory.fieldVar(VGP_SIGMA21_S);
sigma22 = varFactory.fieldVar(VGP_SIGMA22_S);
p = varFactory.fieldVar(VGP_P_S);
u1hat = varFactory.traceVar(VGP_U1HAT_S);
u2hat = varFactory.traceVar(VGP_U2HAT_S);
t1n = varFactory.fluxVar(VGP_T1HAT_S);
t2n = varFactory.fluxVar(VGP_T2HAT_S);
v1 = varFactory.testVar(VGP_V1_S, HGRAD);
v2 = varFactory.testVar(VGP_V2_S, HGRAD);
tau1 = varFactory.testVar(VGP_TAU1_S, HDIV);
tau2 = varFactory.testVar(VGP_TAU2_S, HDIV);
q = varFactory.testVar(VGP_Q_S, HGRAD);
FunctionPtr u1_0 = Teuchos::rcp( new U1_0(eps) );
FunctionPtr u2_0 = Teuchos::rcp( new U2_0 );
FunctionPtr zero = Function::zero();
ParameterFunctionPtr Re_param = ParameterFunction::parameterFunction(1);
VGPNavierStokesProblem problem = VGPNavierStokesProblem(Re_param,quadPoints,
horizontalCells,verticalCells,
H1Order, pToAdd,
u1_0, u2_0, // BC for u
zero, zero); // zero forcing function
SolutionPtr solution = problem.backgroundFlow();
SolutionPtr solnIncrement = problem.solutionIncrement();
Teuchos::RCP<Mesh> mesh = problem.mesh();
mesh->registerSolution(solution);
mesh->registerSolution(solnIncrement);
///////////////////////////////////////////////////////////////////////////
// define bilinear form for stream function:
VarFactory streamVarFactory;
VarPtr phi_hat = streamVarFactory.traceVar("\\widehat{\\phi}");
VarPtr psin_hat = streamVarFactory.fluxVar("\\widehat{\\psi}_n");
VarPtr psi_1 = streamVarFactory.fieldVar("\\psi_1");
VarPtr psi_2 = streamVarFactory.fieldVar("\\psi_2");
VarPtr phi = streamVarFactory.fieldVar("\\phi");
VarPtr q_s = streamVarFactory.testVar("q_s", HGRAD);
VarPtr v_s = streamVarFactory.testVar("v_s", HDIV);
BFPtr streamBF = Teuchos::rcp( new BF(streamVarFactory) );
streamBF->addTerm(psi_1, q_s->dx());
streamBF->addTerm(psi_2, q_s->dy());
streamBF->addTerm(-psin_hat, q_s);
streamBF->addTerm(psi_1, v_s->x());
streamBF->addTerm(psi_2, v_s->y());
streamBF->addTerm(phi, v_s->div());
streamBF->addTerm(-phi_hat, v_s->dot_normal());
Teuchos::RCP<Mesh> streamMesh, overkillMesh;
streamMesh = MeshFactory::buildQuadMesh(quadPoints, horizontalCells, verticalCells,
streamBF, H1Order+pToAddForStreamFunction,
H1Order+pToAdd+pToAddForStreamFunction, useTriangles);
mesh->registerObserver(streamMesh); // will refine streamMesh in the same way as mesh.
map<int, double> dofsToL2error; // key: numGlobalDofs, value: total L2error compared with overkill
vector< VarPtr > fields;
fields.push_back(u1);
fields.push_back(u2);
fields.push_back(sigma11);
fields.push_back(sigma12);
fields.push_back(sigma21);
fields.push_back(sigma22);
fields.push_back(p);
if (rank == 0) {
cout << "Starting mesh has " << horizontalCells << " x " << verticalCells << " elements and ";
cout << mesh->numGlobalDofs() << " total dofs.\n";
cout << "polyOrder = " << polyOrder << endl;
cout << "pToAdd = " << pToAdd << endl;
cout << "eps for top BC = " << eps << endl;
if (useTriangles) {
cout << "Using triangles.\n";
}
if (enforceLocalConservation) {
cout << "Enforcing local conservation.\n";
} else {
cout << "NOT enforcing local conservation.\n";
}
if (enforceOneIrregularity) {
cout << "Enforcing 1-irregularity.\n";
} else {
cout << "NOT enforcing 1-irregularity.\n";
}
}
//////////////////// CREATE BCs ///////////////////////
SpatialFilterPtr entireBoundary = Teuchos::rcp( new SpatialFilterUnfiltered );
FunctionPtr u1_prev = Function::solution(u1,solution);
FunctionPtr u2_prev = Function::solution(u2,solution);
FunctionPtr u1hat_prev = Function::solution(u1hat,solution);
FunctionPtr u2hat_prev = Function::solution(u2hat,solution);
//////////////////// SOLVE & REFINE ///////////////////////
FunctionPtr vorticity = Teuchos::rcp( new PreviousSolutionFunction(solution, - u1->dy() + u2->dx() ) );
// FunctionPtr vorticity = Teuchos::rcp( new PreviousSolutionFunction(solution,sigma12 - sigma21) );
RHSPtr streamRHS = RHS::rhs();
streamRHS->addTerm(vorticity * q_s);
((PreviousSolutionFunction*) vorticity.get())->setOverrideMeshCheck(true);
((PreviousSolutionFunction*) u1_prev.get())->setOverrideMeshCheck(true);
((PreviousSolutionFunction*) u2_prev.get())->setOverrideMeshCheck(true);
BCPtr streamBC = BC::bc();
// streamBC->addDirichlet(psin_hat, entireBoundary, u0_cross_n);
streamBC->addDirichlet(phi_hat, entireBoundary, zero);
// streamBC->addZeroMeanConstraint(phi);
IPPtr streamIP = Teuchos::rcp( new IP );
streamIP->addTerm(q_s);
streamIP->addTerm(q_s->grad());
streamIP->addTerm(v_s);
streamIP->addTerm(v_s->div());
SolutionPtr streamSolution = Teuchos::rcp( new Solution( streamMesh, streamBC, streamRHS, streamIP ) );
if (enforceLocalConservation) {
FunctionPtr zero = Function::zero();
solution->lagrangeConstraints()->addConstraint(u1hat->times_normal_x() + u2hat->times_normal_y()==zero);
solnIncrement->lagrangeConstraints()->addConstraint(u1hat->times_normal_x() + u2hat->times_normal_y()==zero);
}
if (true) {
FunctionPtr u1_incr = Function::solution(u1, solnIncrement);
FunctionPtr u2_incr = Function::solution(u2, solnIncrement);
FunctionPtr sigma11_incr = Function::solution(sigma11, solnIncrement);
FunctionPtr sigma12_incr = Function::solution(sigma12, solnIncrement);
FunctionPtr sigma21_incr = Function::solution(sigma21, solnIncrement);
FunctionPtr sigma22_incr = Function::solution(sigma22, solnIncrement);
FunctionPtr p_incr = Function::solution(p, solnIncrement);
FunctionPtr l2_incr = u1_incr * u1_incr + u2_incr * u2_incr + p_incr * p_incr
+ sigma11_incr * sigma11_incr + sigma12_incr * sigma12_incr
+ sigma21_incr * sigma21_incr + sigma22_incr * sigma22_incr;
double energyThreshold = 0.20;
Teuchos::RCP< RefinementStrategy > refinementStrategy = Teuchos::rcp( new RefinementStrategy( solnIncrement, energyThreshold ));
for (int i=0; i<ReValues.size(); i++) {
double Re = ReValues[i];
Re_param->setValue(Re);
if (rank==0) cout << "Solving with Re = " << Re << ":\n";
double energyErrorTotal;
do {
double incr_norm;
do {
problem.iterate(useLineSearch);
incr_norm = sqrt(l2_incr->integrate(problem.mesh()));
if (rank==0) {
cout << "\x1B[2K"; // Erase the entire current line.
cout << "\x1B[0E"; // Move to the beginning of the current line.
cout << "Iteration: " << problem.iterationCount() << "; L^2(incr) = " << incr_norm;
flush(cout);
}
} while ((incr_norm > minL2Increment ) && (problem.iterationCount() < maxIters));
if (rank==0) cout << endl;
problem.setIterationCount(1); // 1 means reuse background flow (which we must, given that we want continuation in Re...)
energyErrorTotal = solnIncrement->energyErrorTotal(); //solution->energyErrorTotal();
if (energyErrorTotal > energyErrorGoal) {
refinementStrategy->refine(false);
}
if (rank==0) {
cout << "Energy error: " << energyErrorTotal << endl;
}
} while (energyErrorTotal > energyErrorGoal);
}
}
double energyErrorTotal = solution->energyErrorTotal();
double incrementalEnergyErrorTotal = solnIncrement->energyErrorTotal();
if (rank == 0) {
cout << "final mesh has " << mesh->numActiveElements() << " elements and " << mesh->numGlobalDofs() << " dofs.\n";
cout << "energy error: " << energyErrorTotal << endl;
cout << " (Incremental solution's energy error is " << incrementalEnergyErrorTotal << ".)\n";
}
FunctionPtr u1_sq = u1_prev * u1_prev;
FunctionPtr u_dot_u = u1_sq + (u2_prev * u2_prev);
FunctionPtr u_mag = Teuchos::rcp( new SqrtFunction( u_dot_u ) );
FunctionPtr u_div = Teuchos::rcp( new PreviousSolutionFunction(solution, u1->dx() + u2->dy() ) );
FunctionPtr massFlux = Teuchos::rcp( new PreviousSolutionFunction(solution, u1hat->times_normal_x() + u2hat->times_normal_y()) );
// check that the zero mean pressure is being correctly imposed:
FunctionPtr p_prev = Teuchos::rcp( new PreviousSolutionFunction(solution,p) );
double p_avg = p_prev->integrate(mesh);
if (rank==0)
cout << "Integral of pressure: " << p_avg << endl;
// integrate massFlux over each element (a test):
// fake a new bilinear form so we can integrate against 1
VarPtr testOne = varFactory.testVar("1",CONSTANT_SCALAR);
BFPtr fakeBF = Teuchos::rcp( new BF(varFactory) );
LinearTermPtr massFluxTerm = massFlux * testOne;
CellTopoPtrLegacy quadTopoPtr = Teuchos::rcp(new shards::CellTopology(shards::getCellTopologyData<shards::Quadrilateral<4> >() ));
DofOrderingFactory dofOrderingFactory(fakeBF);
int fakeTestOrder = H1Order;
DofOrderingPtr testOrdering = dofOrderingFactory.testOrdering(fakeTestOrder, *quadTopoPtr);
int testOneIndex = testOrdering->getDofIndex(testOne->ID(),0);
vector< ElementTypePtr > elemTypes = mesh->elementTypes(); // global element types
map<int, double> massFluxIntegral; // cellID -> integral
double maxMassFluxIntegral = 0.0;
double totalMassFlux = 0.0;
double totalAbsMassFlux = 0.0;
double maxCellMeasure = 0;
double minCellMeasure = 1;
for (vector< ElementTypePtr >::iterator elemTypeIt = elemTypes.begin(); elemTypeIt != elemTypes.end(); elemTypeIt++) {
ElementTypePtr elemType = *elemTypeIt;
vector< ElementPtr > elems = mesh->elementsOfTypeGlobal(elemType);
vector<GlobalIndexType> cellIDs;
for (int i=0; i<elems.size(); i++) {
cellIDs.push_back(elems[i]->cellID());
}
FieldContainer<double> physicalCellNodes = mesh->physicalCellNodesGlobal(elemType);
BasisCachePtr basisCache = Teuchos::rcp( new BasisCache(elemType,mesh,polyOrder) ); // enrich by trial space order
basisCache->setPhysicalCellNodes(physicalCellNodes,cellIDs,true); // true: create side caches
FieldContainer<double> cellMeasures = basisCache->getCellMeasures();
FieldContainer<double> fakeRHSIntegrals(elems.size(),testOrdering->totalDofs());
massFluxTerm->integrate(fakeRHSIntegrals,testOrdering,basisCache,true); // true: force side evaluation
// cout << "fakeRHSIntegrals:\n" << fakeRHSIntegrals;
for (int i=0; i<elems.size(); i++) {
int cellID = cellIDs[i];
// pick out the ones for testOne:
massFluxIntegral[cellID] = fakeRHSIntegrals(i,testOneIndex);
}
// find the largest:
for (int i=0; i<elems.size(); i++) {
int cellID = cellIDs[i];
maxMassFluxIntegral = max(abs(massFluxIntegral[cellID]), maxMassFluxIntegral);
}
for (int i=0; i<elems.size(); i++) {
int cellID = cellIDs[i];
maxCellMeasure = max(maxCellMeasure,cellMeasures(i));
minCellMeasure = min(minCellMeasure,cellMeasures(i));
maxMassFluxIntegral = max(abs(massFluxIntegral[cellID]), maxMassFluxIntegral);
totalMassFlux += massFluxIntegral[cellID];
totalAbsMassFlux += abs( massFluxIntegral[cellID] );
}
}
if (rank==0) {
cout << "largest mass flux: " << maxMassFluxIntegral << endl;
cout << "total mass flux: " << totalMassFlux << endl;
cout << "sum of mass flux absolute value: " << totalAbsMassFlux << endl;
cout << "largest h: " << sqrt(maxCellMeasure) << endl;
cout << "smallest h: " << sqrt(minCellMeasure) << endl;
cout << "ratio of largest / smallest h: " << sqrt(maxCellMeasure) / sqrt(minCellMeasure) << endl;
}
if (rank == 0) {
cout << "phi ID: " << phi->ID() << endl;
cout << "psi1 ID: " << psi_1->ID() << endl;
cout << "psi2 ID: " << psi_2->ID() << endl;
cout << "streamMesh has " << streamMesh->numActiveElements() << " elements.\n";
cout << "solving for approximate stream function...\n";
}
streamSolution->solve(useMumps);
energyErrorTotal = streamSolution->energyErrorTotal();
if (rank == 0) {
cout << "...solved.\n";
cout << "Stream mesh has energy error: " << energyErrorTotal << endl;
}
if (rank==0){
solution->writeToVTK("nsCavitySoln.vtk");
if (! meshHasTriangles ) {
massFlux->writeBoundaryValuesToMATLABFile(solution->mesh(), "massFlux.dat");
u_mag->writeValuesToMATLABFile(solution->mesh(), "u_mag.m");
u_div->writeValuesToMATLABFile(solution->mesh(), "u_div.m");
solution->writeFieldsToFile(u1->ID(), "u1.m");
solution->writeFluxesToFile(u1hat->ID(), "u1_hat.dat");
solution->writeFieldsToFile(u2->ID(), "u2.m");
solution->writeFluxesToFile(u2hat->ID(), "u2_hat.dat");
solution->writeFieldsToFile(p->ID(), "p.m");
streamSolution->writeFieldsToFile(phi->ID(), "phi.m");
streamSolution->writeFluxesToFile(phi_hat->ID(), "phi_hat.dat");
streamSolution->writeFieldsToFile(psi_1->ID(), "psi1.m");
streamSolution->writeFieldsToFile(psi_2->ID(), "psi2.m");
vorticity->writeValuesToMATLABFile(streamMesh, "vorticity.m");
FunctionPtr ten = Teuchos::rcp( new ConstantScalarFunction(10) );
ten->writeBoundaryValuesToMATLABFile(solution->mesh(), "skeleton.dat");
cout << "wrote files: u_mag.m, u_div.m, u1.m, u1_hat.dat, u2.m, u2_hat.dat, p.m, phi.m, vorticity.m.\n";
} else {
solution->writeToFile(u1->ID(), "u1.dat");
solution->writeToFile(u2->ID(), "u2.dat");
solution->writeToFile(u2->ID(), "p.dat");
cout << "wrote files: u1.dat, u2.dat, p.dat\n";
}
FieldContainer<double> points = pointGrid(0, 1, 0, 1, 100);
FieldContainer<double> pointData = solutionData(points, streamSolution, phi);
GnuPlotUtil::writeXYPoints("phi_patch_navierStokes_cavity.dat", pointData);
set<double> patchContourLevels = diagonalContourLevels(pointData,1);
vector<string> patchDataPath;
patchDataPath.push_back("phi_patch_navierStokes_cavity.dat");
GnuPlotUtil::writeContourPlotScript(patchContourLevels, patchDataPath, "lidCavityNavierStokes.p");
GnuPlotUtil::writeExactMeshSkeleton("lid_navierStokes_continuation_adaptive", mesh, 2);
writePatchValues(0, 1, 0, 1, streamSolution, phi, "phi_patch.m");
writePatchValues(0, .1, 0, .1, streamSolution, phi, "phi_patch_detail.m");
writePatchValues(0, .01, 0, .01, streamSolution, phi, "phi_patch_minute_detail.m");
writePatchValues(0, .001, 0, .001, streamSolution, phi, "phi_patch_minute_minute_detail.m");
}
return 0;
}
int main(int argc, char *argv[]) {
#ifdef HAVE_MPI
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
choice::MpiArgs args( argc, argv );
#else
choice::Args args( argc, argv );
#endif
int commRank = Teuchos::GlobalMPISession::getRank();
int numProcs = Teuchos::GlobalMPISession::getNProc();
// Required arguments
double epsilon = args.Input<double>("--epsilon", "diffusion parameter");
int numRefs = args.Input<int>("--numRefs", "number of refinement steps");
bool enforceLocalConservation = args.Input<bool>("--conserve", "enforce local conservation");
int norm = args.Input<int>("--norm", "0 = graph\n 1 = robust\n 2 = modified robust");
// Optional arguments (have defaults)
halfwidth = args.Input("--halfwidth", "half the width of the wedge", 0.5);
bool allQuads = args.Input("--allQuads", "use only quads in mesh", false);
bool zeroL2 = args.Input("--zeroL2", "take L2 term on v in robust norm to zero", enforceLocalConservation);
args.Process();
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactory varFactory;
VarPtr tau = varFactory.testVar("tau", HDIV);
VarPtr v = varFactory.testVar("v", HGRAD);
// define trial variables
VarPtr uhat = varFactory.traceVar("uhat");
VarPtr beta_n_u_minus_sigma_n = varFactory.fluxVar("fhat");
VarPtr u = varFactory.fieldVar("u");
VarPtr sigma = varFactory.fieldVar("sigma", VECTOR_L2);
vector<double> beta;
beta.push_back(1.0);
beta.push_back(0.0);
//////////////////// DEFINE BILINEAR FORM ///////////////////////
BFPtr bf = Teuchos::rcp( new BF(varFactory) );
// tau terms:
bf->addTerm(sigma / epsilon, tau);
bf->addTerm(u, tau->div());
bf->addTerm(-uhat, tau->dot_normal());
// v terms:
bf->addTerm( sigma, v->grad() );
bf->addTerm( beta * u, - v->grad() );
bf->addTerm( beta_n_u_minus_sigma_n, v);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
IPPtr ip = Teuchos::rcp(new IP);
// Graph norm
if (norm == 0)
{
ip = bf->graphNorm();
FunctionPtr h2_scaling = Teuchos::rcp( new ZeroMeanScaling );
ip->addZeroMeanTerm( h2_scaling*v );
}
// Robust norm
else if (norm == 1)
{
// robust test norm
FunctionPtr ip_scaling = Teuchos::rcp( new EpsilonScaling(epsilon) );
FunctionPtr h2_scaling = Teuchos::rcp( new ZeroMeanScaling );
if (!zeroL2)
ip->addTerm( v );
ip->addTerm( sqrt(epsilon) * v->grad() );
// Weight these two terms for inflow
ip->addTerm( beta * v->grad() );
ip->addTerm( tau->div() );
ip->addTerm( ip_scaling/sqrt(epsilon) * tau );
if (zeroL2)
ip->addZeroMeanTerm( h2_scaling*v );
}
// Modified robust norm
else if (norm == 2)
{
// robust test norm
FunctionPtr ip_scaling = Teuchos::rcp( new EpsilonScaling(epsilon) );
FunctionPtr h2_scaling = Teuchos::rcp( new ZeroMeanScaling );
if (!zeroL2)
ip->addTerm( v );
ip->addTerm( sqrt(epsilon) * v->grad() );
ip->addTerm( tau->div() - beta*v->grad() );
ip->addTerm( ip_scaling/sqrt(epsilon) * tau );
if (zeroL2)
ip->addZeroMeanTerm( h2_scaling*v );
}
//////////////////// SPECIFY RHS ///////////////////////
Teuchos::RCP<RHSEasy> rhs = Teuchos::rcp( new RHSEasy );
FunctionPtr f = Teuchos::rcp( new ConstantScalarFunction(0.0) );
rhs->addTerm( f * v ); // obviously, with f = 0 adding this term is not necessary!
//////////////////// CREATE BCs ///////////////////////
Teuchos::RCP<BCEasy> bc = Teuchos::rcp( new BCEasy );
Teuchos::RCP<PenaltyConstraints> pc = Teuchos::rcp( new PenaltyConstraints );
FunctionPtr n = Teuchos::rcp( new UnitNormalFunction );
SpatialFilterPtr inflow = Teuchos::rcp( new Inflow );
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
bc->addDirichlet(beta_n_u_minus_sigma_n, inflow, zero);
SpatialFilterPtr leadingWedge = Teuchos::rcp( new LeadingWedge );
FunctionPtr one = Teuchos::rcp( new ConstantScalarFunction(1.0) );
bc->addDirichlet(uhat, leadingWedge, one);
SpatialFilterPtr trailingWedge = Teuchos::rcp( new TrailingWedge );
bc->addDirichlet(beta_n_u_minus_sigma_n, trailingWedge, beta*n*one);
// bc->addDirichlet(uhat, trailingWedge, one);
SpatialFilterPtr top = Teuchos::rcp( new Top );
bc->addDirichlet(uhat, top, zero);
// bc->addDirichlet(beta_n_u_minus_sigma_n, top, zero);
SpatialFilterPtr outflow = Teuchos::rcp( new Outflow );
pc->addConstraint(beta*uhat->times_normal() - beta_n_u_minus_sigma_n == zero, outflow);
//////////////////// BUILD MESH ///////////////////////
int H1Order = 3, pToAdd = 2;
// define nodes for mesh
vector< FieldContainer<double> > vertices;
FieldContainer<double> pt(2);
vector< vector<int> > elementIndices;
vector<int> q(4);
vector<int> t(3);
if (allQuads)
{
pt(0) = -halfwidth; pt(1) = -1;
vertices.push_back(pt);
pt(0) = 0; pt(1) = 0;
vertices.push_back(pt);
pt(0) = halfwidth; pt(1) = -1;
vertices.push_back(pt);
pt(0) = halfwidth; pt(1) = halfwidth;
vertices.push_back(pt);
pt(0) = 0; pt(1) = halfwidth;
vertices.push_back(pt);
pt(0) = -halfwidth; pt(1) = halfwidth;
vertices.push_back(pt);
q[0] = 0; q[1] = 1; q[2] = 4; q[3] = 5;
elementIndices.push_back(q);
q[0] = 1; q[1] = 2; q[2] = 3; q[3] = 4;
elementIndices.push_back(q);
}
else
{
pt(0) = -halfwidth; pt(1) = -1;
vertices.push_back(pt);
pt(0) = 0; pt(1) = 0;
vertices.push_back(pt);
pt(0) = halfwidth; pt(1) = -1;
vertices.push_back(pt);
pt(0) = halfwidth; pt(1) = 0;
vertices.push_back(pt);
pt(0) = halfwidth; pt(1) = halfwidth;
vertices.push_back(pt);
pt(0) = 0; pt(1) = halfwidth;
vertices.push_back(pt);
pt(0) = -halfwidth; pt(1) = halfwidth;
vertices.push_back(pt);
pt(0) = -halfwidth; pt(1) = 0;
vertices.push_back(pt);
t[0] = 0; t[1] = 1; t[2] = 7;
elementIndices.push_back(t);
t[0] = 1; t[1] = 2; t[2] = 3;
elementIndices.push_back(t);
q[0] = 1; q[1] = 3; q[2] = 4; q[3] = 5;
elementIndices.push_back(q);
q[0] = 7; q[1] = 1; q[2] = 5; q[3] = 6;
elementIndices.push_back(q);
}
Teuchos::RCP<Mesh> mesh = Teuchos::rcp( new Mesh(vertices, elementIndices, bf, H1Order, pToAdd) );
//////////////////// SOLVE & REFINE ///////////////////////
Teuchos::RCP<Solution> solution = Teuchos::rcp( new Solution(mesh, bc, rhs, ip) );
solution->setFilter(pc);
if (enforceLocalConservation) {
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
solution->lagrangeConstraints()->addConstraint(beta_n_u_minus_sigma_n == zero);
}
double energyThreshold = 0.2; // for mesh refinements
RefinementStrategy refinementStrategy( solution, energyThreshold );
VTKExporter exporter(solution, mesh, varFactory);
ofstream errOut;
if (commRank == 0)
errOut.open("singularwedge_err.txt");
for (int refIndex=0; refIndex<=numRefs; refIndex++){
solution->solve(false);
double energy_error = solution->energyErrorTotal();
if (commRank==0){
stringstream outfile;
outfile << "singularwedge_" << refIndex;
exporter.exportSolution(outfile.str());
// Check local conservation
FunctionPtr flux = Teuchos::rcp( new PreviousSolutionFunction(solution, beta_n_u_minus_sigma_n) );
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
Teuchos::Tuple<double, 3> fluxImbalances = checkConservation(flux, zero, varFactory, mesh);
cout << "Mass flux: Largest Local = " << fluxImbalances[0]
<< ", Global = " << fluxImbalances[1] << ", Sum Abs = " << fluxImbalances[2] << endl;
errOut << mesh->numGlobalDofs() << " " << energy_error << " "
<< fluxImbalances[0] << " " << fluxImbalances[1] << " " << fluxImbalances[2] << endl;
}
if (refIndex < numRefs)
refinementStrategy.refine(commRank==0); // print to console on commRank 0
}
if (commRank == 0)
errOut.close();
return 0;
}
bool ScratchPadTests::testResidualMemoryError()
{
int rank = Teuchos::GlobalMPISession::getRank();
double tol = 1e-11;
bool success = true;
int nCells = 2;
double eps = 1e-2;
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactoryPtr varFactory = VarFactory::varFactory();
VarPtr tau = varFactory->testVar("\\tau", HDIV);
VarPtr v = varFactory->testVar("v", HGRAD);
// define trial variables
VarPtr uhat = varFactory->traceVar("\\widehat{u}");
VarPtr beta_n_u_minus_sigma_n = varFactory->fluxVar("\\widehat{\\beta \\cdot n u - \\sigma_{n}}");
VarPtr u = varFactory->fieldVar("u");
VarPtr sigma1 = varFactory->fieldVar("\\sigma_1");
VarPtr sigma2 = varFactory->fieldVar("\\sigma_2");
vector<double> beta;
beta.push_back(1.0);
beta.push_back(0.0);
//////////////////// DEFINE BILINEAR FORM ///////////////////////
BFPtr confusionBF = Teuchos::rcp( new BF(varFactory) );
// tau terms:
confusionBF->addTerm(sigma1 / eps, tau->x());
confusionBF->addTerm(sigma2 / eps, tau->y());
confusionBF->addTerm(u, tau->div());
confusionBF->addTerm(uhat, -tau->dot_normal());
// v terms:
confusionBF->addTerm( sigma1, v->dx() );
confusionBF->addTerm( sigma2, v->dy() );
confusionBF->addTerm( -u, beta * v->grad() );
confusionBF->addTerm( beta_n_u_minus_sigma_n, v);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
// robust test norm
IPPtr robIP = Teuchos::rcp(new IP);
robIP->addTerm(tau);
robIP->addTerm(tau->div());
robIP->addTerm(v->grad());
robIP->addTerm(v);
//////////////////// SPECIFY RHS ///////////////////////
FunctionPtr zero = Function::constant(0.0);
FunctionPtr one = Function::constant(1.0);
RHSPtr rhs = RHS::rhs();
FunctionPtr f = zero;
// FunctionPtr f = one;
rhs->addTerm( f * v ); // obviously, with f = 0 adding this term is not necessary!
//////////////////// CREATE BCs ///////////////////////
BCPtr bc = BC::bc();
SpatialFilterPtr inflowBoundary = Teuchos::rcp( new LRInflowSquareBoundary );
SpatialFilterPtr outflowBoundary = Teuchos::rcp( new LROutflowSquareBoundary);
FunctionPtr n = Function::normal();
vector<double> e1,e2;
e1.push_back(1.0);
e1.push_back(0.0);
e2.push_back(0.0);
e2.push_back(1.0);
bc->addDirichlet(beta_n_u_minus_sigma_n, inflowBoundary, beta*n*one);
bc->addDirichlet(uhat, outflowBoundary, zero);
//////////////////// BUILD MESH ///////////////////////
// define nodes for mesh
int order = 2;
int H1Order = order+1;
int pToAdd = 2;
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = MeshUtilities::buildUnitQuadMesh(nCells,confusionBF, H1Order, H1Order+pToAdd);
// mesh->setPartitionPolicy(Teuchos::rcp(new ZoltanMeshPartitionPolicy("HSFC")));
//////////////////// SOLVE & REFINE ///////////////////////
Teuchos::RCP<Solution> solution;
solution = Teuchos::rcp( new Solution(mesh, bc, rhs, robIP) );
solution->solve(false);
mesh->registerSolution(solution);
double energyErr1 = solution->energyErrorTotal();
LinearTermPtr residual = rhs->linearTermCopy();
residual->addTerm(-confusionBF->testFunctional(solution));
RieszRepPtr rieszResidual = Teuchos::rcp(new RieszRep(mesh, robIP, residual));
rieszResidual->computeRieszRep();
FunctionPtr e_v = RieszRep::repFunction(v,rieszResidual);
FunctionPtr e_tau = RieszRep::repFunction(tau,rieszResidual);
double energyThreshold = 0.2; // for mesh refinements
RefinementStrategy refinementStrategy( solution, energyThreshold );
refinementStrategy.refine();
solution->solve(false);
double energyErr2 = solution->energyErrorTotal();
// if energy error rises
if (energyErr1 < energyErr2)
{
if (rank==0)
cout << "energy error increased from " << energyErr1 << " to " << energyErr2 << " after refinement.\n";
success = false;
}
return success;
}
// tests whether a mixed type LT
bool ScratchPadTests::testLinearTermEvaluationConsistency()
{
bool success = true;
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactoryPtr varFactory = VarFactory::varFactory();
VarPtr v = varFactory->testVar("v", HGRAD);
vector<double> beta;
beta.push_back(1.0);
beta.push_back(1.0);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
// robust test norm
IPPtr ip = Teuchos::rcp(new IP);
ip->addTerm(v);
ip->addTerm(beta*v->grad());
// define trial variables
VarPtr beta_n_u = varFactory->fluxVar("\\widehat{\\beta \\cdot n }");
VarPtr u = varFactory->fieldVar("u");
//////////////////// BUILD MESH ///////////////////////
BFPtr convectionBF = Teuchos::rcp( new BF(varFactory) );
// v terms:
convectionBF->addTerm( -u, beta * v->grad() );
convectionBF->addTerm( beta_n_u, v);
// define nodes for mesh
int order = 1;
int H1Order = order+1;
int pToAdd = 1;
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = MeshUtilities::buildUnitQuadMesh(1, convectionBF, H1Order, H1Order+pToAdd);
//////////////////// get fake residual ///////////////////////
LinearTermPtr lt = Teuchos::rcp(new LinearTerm);
FunctionPtr edgeFxn = Teuchos::rcp(new EdgeFunction);
FunctionPtr Xsq = Function::xn(2);
FunctionPtr Ysq = Function::yn(2);
FunctionPtr XYsq = Xsq*Ysq;
lt->addTerm(edgeFxn*v + (beta*XYsq)*v->grad());
Teuchos::RCP<RieszRep> ltRiesz = Teuchos::rcp(new RieszRep(mesh, ip, lt));
ltRiesz->computeRieszRep();
FunctionPtr repFxn = RieszRep::repFunction(v,ltRiesz);
map<int,FunctionPtr> rep_map;
rep_map[v->ID()] = repFxn;
FunctionPtr edgeLt = lt->evaluate(rep_map, true) ;
FunctionPtr elemLt = lt->evaluate(rep_map, false);
double edgeVal = edgeLt->integrate(mesh,10);
double elemVal = elemLt->integrate(mesh,10);
LinearTermPtr edgeOnlyLt = Teuchos::rcp(new LinearTerm);// residual
edgeOnlyLt->addTerm(edgeFxn*v);
FunctionPtr edgeOnly = edgeOnlyLt->evaluate(rep_map,true);
double edgeOnlyVal = edgeOnly->integrate(mesh,10);
double diff = edgeOnlyVal-edgeVal;
if (abs(diff)>1e-11)
{
success = false;
cout << "Failed testLinearTermEvaluationConsistency() with diff = " << diff << endl;
}
return success;
}
// tests residual computation on simple convection
bool ScratchPadTests::testLTResidualSimple()
{
double tol = 1e-11;
int rank = Teuchos::GlobalMPISession::getRank();
bool success = true;
int nCells = 2;
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactoryPtr varFactory = VarFactory::varFactory();
VarPtr v = varFactory->testVar("v", HGRAD);
// define trial variables
VarPtr beta_n_u = varFactory->fluxVar("\\widehat{\\beta \\cdot n u - \\sigma_{n}}");
VarPtr u = varFactory->fieldVar("u");
vector<double> beta;
beta.push_back(1.0);
beta.push_back(1.0);
//////////////////// DEFINE BILINEAR FORM ///////////////////////
BFPtr confusionBF = Teuchos::rcp( new BF(varFactory) );
// v terms:
confusionBF->addTerm( -u, beta * v->grad() );
confusionBF->addTerm( beta_n_u, v);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
// robust test norm
IPPtr ip = Teuchos::rcp(new IP);
// choose the mesh-independent norm even though it may have BLs
ip->addTerm(v->grad());
ip->addTerm(v);
//////////////////// SPECIFY RHS AND HELPFUL FUNCTIONS ///////////////////////
FunctionPtr n = Function::normal();
vector<double> e1,e2;
e1.push_back(1.0);
e1.push_back(0.0);
e2.push_back(0.0);
e2.push_back(1.0);
FunctionPtr one = Function::constant(1.0);
FunctionPtr zero = Function::constant(0.0);
RHSPtr rhs = RHS::rhs();
FunctionPtr f = one;
rhs->addTerm( f * v );
//////////////////// CREATE BCs ///////////////////////
BCPtr bc = BC::bc();
SpatialFilterPtr boundary = Teuchos::rcp( new InflowSquareBoundary );
FunctionPtr u_in = Teuchos::rcp(new Uinflow);
bc->addDirichlet(beta_n_u, boundary, beta*n*u_in);
//////////////////// BUILD MESH ///////////////////////
// define nodes for mesh
int order = 2;
int H1Order = order+1;
int pToAdd = 2;
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = MeshUtilities::buildUnitQuadMesh(nCells,confusionBF, H1Order, H1Order+pToAdd);
//////////////////// SOLVE & REFINE ///////////////////////
int cubEnrich = 0;
Teuchos::RCP<Solution> solution;
solution = Teuchos::rcp( new Solution(mesh, bc, rhs, ip) );
solution->solve(false);
double energyError = solution->energyErrorTotal();
LinearTermPtr residual = rhs->linearTermCopy();
residual->addTerm(-confusionBF->testFunctional(solution),true);
Teuchos::RCP<RieszRep> rieszResidual = Teuchos::rcp(new RieszRep(mesh, ip, residual));
rieszResidual->computeRieszRep(cubEnrich);
double energyErrorLT = rieszResidual->getNorm();
bool testVsTest = true;
FunctionPtr e_v = RieszRep::repFunction(v,rieszResidual);
map<int,FunctionPtr> errFxns;
errFxns[v->ID()] = e_v;
FunctionPtr err = (ip->evaluate(errFxns,false))->evaluate(errFxns,false); // don't need boundary terms unless they're in IP
double energyErrorIntegrated = sqrt(err->integrate(mesh,cubEnrich,testVsTest));
// check that energy error computed thru Solution and through rieszRep are the same
success = abs(energyError-energyErrorLT) < tol;
if (success==false)
{
if (rank==0)
cout << "Failed testLTResidualSimple; energy error = " << energyError << ", while linearTerm error is computed to be " << energyErrorLT << endl;
return success;
}
// checks that matrix-computed and integrated errors are the same
success = abs(energyErrorLT-energyErrorIntegrated)<tol;
if (success==false)
{
if (rank==0)
cout << "Failed testLTResidualSimple; energy error = " << energyError << ", while error computed via integration is " << energyErrorIntegrated << endl;
return success;
}
return success;
}
// tests to make sure the energy error calculated thru direct integration works for vector valued test functions too
bool ScratchPadTests::testLTResidual()
{
double tol = 1e-11;
int rank = Teuchos::GlobalMPISession::getRank();
bool success = true;
int nCells = 2;
double eps = .1;
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactoryPtr varFactory = VarFactory::varFactory();
VarPtr tau = varFactory->testVar("\\tau", HDIV);
VarPtr v = varFactory->testVar("v", HGRAD);
// define trial variables
VarPtr uhat = varFactory->traceVar("\\widehat{u}");
VarPtr beta_n_u_minus_sigma_n = varFactory->fluxVar("\\widehat{\\beta \\cdot n u - \\sigma_{n}}");
VarPtr u = varFactory->fieldVar("u");
VarPtr sigma1 = varFactory->fieldVar("\\sigma_1");
VarPtr sigma2 = varFactory->fieldVar("\\sigma_2");
vector<double> beta;
beta.push_back(1.0);
beta.push_back(0.0);
//////////////////// DEFINE BILINEAR FORM ///////////////////////
BFPtr confusionBF = Teuchos::rcp( new BF(varFactory) );
// tau terms:
confusionBF->addTerm(sigma1 / eps, tau->x());
confusionBF->addTerm(sigma2 / eps, tau->y());
confusionBF->addTerm(u, tau->div());
confusionBF->addTerm(uhat, -tau->dot_normal());
// v terms:
confusionBF->addTerm( sigma1, v->dx() );
confusionBF->addTerm( sigma2, v->dy() );
confusionBF->addTerm( -u, beta * v->grad() );
confusionBF->addTerm( beta_n_u_minus_sigma_n, v);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
// robust test norm
IPPtr ip = Teuchos::rcp(new IP);
// choose the mesh-independent norm even though it may have boundary layers
ip->addTerm(v->grad());
ip->addTerm(v);
ip->addTerm(tau);
ip->addTerm(tau->div());
//////////////////// SPECIFY RHS AND HELPFUL FUNCTIONS ///////////////////////
FunctionPtr n = Function::normal();
vector<double> e1,e2;
e1.push_back(1.0);
e1.push_back(0.0);
e2.push_back(0.0);
e2.push_back(1.0);
FunctionPtr one = Function::constant(1.0);
FunctionPtr zero = Function::constant(0.0);
RHSPtr rhs = RHS::rhs();
FunctionPtr f = one; // if this is set to zero instead, we pass the test (a clue?)
rhs->addTerm( f * v );
//////////////////// CREATE BCs ///////////////////////
BCPtr bc = BC::bc();
SpatialFilterPtr squareBoundary = Teuchos::rcp( new SquareBoundary );
bc->addDirichlet(uhat, squareBoundary, one);
//////////////////// BUILD MESH ///////////////////////
// define nodes for mesh
int order = 2;
int H1Order = order+1;
int pToAdd = 2;
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = MeshUtilities::buildUnitQuadMesh(nCells,confusionBF, H1Order, H1Order+pToAdd);
//////////////////// SOLVE & REFINE ///////////////////////
Teuchos::RCP<Solution> solution;
solution = Teuchos::rcp( new Solution(mesh, bc, rhs, ip) );
solution->solve(false);
double energyError = solution->energyErrorTotal();
LinearTermPtr residual = rhs->linearTermCopy();
residual->addTerm(-confusionBF->testFunctional(solution),true);
// FunctionPtr uh = Function::solution(uhat,solution);
// FunctionPtr fn = Function::solution(beta_n_u_minus_sigma_n,solution);
// FunctionPtr uF = Function::solution(u,solution);
// FunctionPtr sigma = e1*Function::solution(sigma1,solution)+e2*Function::solution(sigma2,solution);
// residual->addTerm(- (fn*v - uh*tau->dot_normal()));
// residual->addTerm(- (uF*(tau->div() - beta*v->grad()) + sigma*((1/eps)*tau + v->grad())));
// residual->addTerm(-(fn*v - uF*beta*v->grad() + sigma*v->grad())); // just v portion
// residual->addTerm(uh*tau->dot_normal() - uF*tau->div() - sigma*((1/eps)*tau)); // just tau portion
Teuchos::RCP<RieszRep> rieszResidual = Teuchos::rcp(new RieszRep(mesh, ip, residual));
rieszResidual->computeRieszRep();
double energyErrorLT = rieszResidual->getNorm();
int cubEnrich = 0;
bool testVsTest = true;
FunctionPtr e_v = RieszRep::repFunction(v,rieszResidual);
FunctionPtr e_tau = RieszRep::repFunction(tau,rieszResidual);
// experiment by Nate: manually specify the error (this appears to produce identical results, as it should)
// FunctionPtr err = e_v * e_v + e_tau * e_tau + e_v->grad() * e_v->grad() + e_tau->div() * e_tau->div();
map<int,FunctionPtr> errFxns;
errFxns[v->ID()] = e_v;
errFxns[tau->ID()] = e_tau;
LinearTermPtr ipAtErrFxns = ip->evaluate(errFxns);
FunctionPtr err = ip->evaluate(errFxns)->evaluate(errFxns);
double energyErrorIntegrated = sqrt(err->integrate(mesh,cubEnrich,testVsTest));
// check that energy error computed thru Solution and through rieszRep are the same
bool success1 = abs(energyError-energyErrorLT)<tol;
// checks that matrix-computed and integrated errors are the same
bool success2 = abs(energyErrorLT-energyErrorIntegrated)<tol;
success = success1==true && success2==true;
if (!success)
{
if (rank==0)
cout << "Failed testLTResidual; energy error = " << energyError << ", while linearTerm error is computed to be " << energyErrorLT << ", and when computing through integration of the Riesz rep function, error = " << energyErrorIntegrated << endl;
}
// VTKExporter exporter(solution, mesh, varFactory);
// exporter.exportSolution("testLTRes");
// cout << endl;
return success;
}
int main(int argc, char *argv[])
{
#ifdef HAVE_MPI
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
int rank=mpiSession.getRank();
int numProcs=mpiSession.getNProc();
#else
int rank = 0;
int numProcs = 1;
#endif
int polyOrder = 0;
// define our manufactured solution or problem bilinear form:
bool useTriangles = false;
int pToAdd = 1;
int nCells = 2;
if ( argc > 1)
{
nCells = atoi(argv[1]);
if (rank==0)
{
cout << "numCells = " << nCells << endl;
}
}
int numSteps = 20;
if ( argc > 2)
{
numSteps = atoi(argv[2]);
if (rank==0)
{
cout << "num NR steps = " << numSteps << endl;
}
}
int useHessian = 0; // defaults to "not use"
if ( argc > 3)
{
useHessian = atoi(argv[3]);
if (rank==0)
{
cout << "useHessian = " << useHessian << endl;
}
}
int H1Order = polyOrder + 1;
double energyThreshold = 0.2; // for mesh refinements
double nonlinearStepSize = 0.5;
double nonlinearRelativeEnergyTolerance = 1e-8; // used to determine convergence of the nonlinear solution
////////////////////////////////////////////////////////////////////
// DEFINE VARIABLES
////////////////////////////////////////////////////////////////////
// new-style bilinear form definition
VarFactory varFactory;
VarPtr fn = varFactory.fluxVar("\\widehat{\\beta_n_u}");
VarPtr u = varFactory.fieldVar("u");
VarPtr v = varFactory.testVar("v",HGRAD);
BFPtr bf = Teuchos::rcp( new BF(varFactory) ); // initialize bilinear form
////////////////////////////////////////////////////////////////////
// CREATE MESH
////////////////////////////////////////////////////////////////////
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = Mesh::buildUnitQuadMesh(2,1 , bf, H1Order, H1Order+pToAdd);
////////////////////////////////////////////////////////////////////
// INITIALIZE BACKGROUND FLOW FUNCTIONS
////////////////////////////////////////////////////////////////////
BCPtr nullBC = Teuchos::rcp((BC*)NULL);
RHSPtr nullRHS = Teuchos::rcp((RHS*)NULL);
IPPtr nullIP = Teuchos::rcp((IP*)NULL);
SolutionPtr backgroundFlow = Teuchos::rcp(new Solution(mesh, nullBC,
nullRHS, nullIP) );
SolutionPtr solnPerturbation = Teuchos::rcp(new Solution(mesh, nullBC,
nullRHS, nullIP) );
vector<double> e1(2); // (1,0)
e1[0] = 1;
vector<double> e2(2); // (0,1)
e2[1] = 1;
FunctionPtr u_prev = Teuchos::rcp( new PreviousSolutionFunction(backgroundFlow, u) );
FunctionPtr beta = e1 * u_prev + Teuchos::rcp( new ConstantVectorFunction( e2 ) );
////////////////////////////////////////////////////////////////////
// DEFINE BILINEAR FORM
////////////////////////////////////////////////////////////////////
// v:
bf->addTerm( -u, beta * v->grad());
bf->addTerm( fn, v);
////////////////////////////////////////////////////////////////////
// DEFINE RHS
////////////////////////////////////////////////////////////////////
Teuchos::RCP<RHSEasy> rhs = Teuchos::rcp( new RHSEasy );
FunctionPtr u_prev_squared_div2 = 0.5 * u_prev * u_prev;
rhs->addTerm((e1 * u_prev_squared_div2 + e2 * u_prev) * v->grad());
// ==================== SET INITIAL GUESS ==========================
mesh->registerSolution(backgroundFlow);
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
FunctionPtr u0 = Teuchos::rcp( new U0 );
FunctionPtr n = Teuchos::rcp( new UnitNormalFunction );
FunctionPtr parity = Teuchos::rcp(new SideParityFunction);
FunctionPtr u0_squared_div_2 = 0.5 * u0 * u0;
map<int, Teuchos::RCP<Function> > functionMap;
functionMap[u->ID()] = u0;
// functionMap[fn->ID()] = -(e1 * u0_squared_div_2 + e2 * u0) * n * parity;
backgroundFlow->projectOntoMesh(functionMap);
// ==================== END SET INITIAL GUESS ==========================
////////////////////////////////////////////////////////////////////
// DEFINE INNER PRODUCT
////////////////////////////////////////////////////////////////////
IPPtr ip = Teuchos::rcp( new IP );
ip->addTerm( v );
ip->addTerm(v->grad());
// ip->addTerm( beta * v->grad() );
////////////////////////////////////////////////////////////////////
// DEFINE DIRICHLET BC
////////////////////////////////////////////////////////////////////
SpatialFilterPtr outflowBoundary = Teuchos::rcp( new TopBoundary);
SpatialFilterPtr inflowBoundary = Teuchos::rcp( new NegatedSpatialFilter(outflowBoundary) );
Teuchos::RCP<BCEasy> inflowBC = Teuchos::rcp( new BCEasy );
inflowBC->addDirichlet(fn,inflowBoundary,
( e1 * u0_squared_div_2 + e2 * u0) * n );
// inflowBC->addDirichlet(fn,inflowBoundary,zero);
////////////////////////////////////////////////////////////////////
// CREATE SOLUTION OBJECT
////////////////////////////////////////////////////////////////////
Teuchos::RCP<Solution> solution = Teuchos::rcp(new Solution(mesh, inflowBC, rhs, ip));
mesh->registerSolution(solution);
solution->setCubatureEnrichmentDegree(10);
////////////////////////////////////////////////////////////////////
// HESSIAN BIT + CHECKS ON GRADIENT + HESSIAN
////////////////////////////////////////////////////////////////////
VarFactory hessianVars = varFactory.getBubnovFactory(VarFactory::BUBNOV_TRIAL);
VarPtr du = hessianVars.test(u->ID());
BFPtr hessianBF = Teuchos::rcp( new BF(hessianVars) ); // initialize bilinear form
FunctionPtr du_current = Teuchos::rcp( new PreviousSolutionFunction(solution, u) );
FunctionPtr fnhat = Teuchos::rcp(new PreviousSolutionFunction(solution,fn));
LinearTermPtr residual = Teuchos::rcp(new LinearTerm);// residual
residual->addTerm(fnhat*v,true);
residual->addTerm( - (e1 * (u_prev_squared_div2) + e2 * (u_prev)) * v->grad(),true);
LinearTermPtr Bdu = Teuchos::rcp(new LinearTerm);// residual
Bdu->addTerm( - du_current*(beta*v->grad()));
Teuchos::RCP<RieszRep> riesz = Teuchos::rcp(new RieszRep(mesh, ip, residual));
Teuchos::RCP<RieszRep> duRiesz = Teuchos::rcp(new RieszRep(mesh, ip, Bdu));
riesz->computeRieszRep();
FunctionPtr e_v = Teuchos::rcp(new RepFunction(v,riesz));
e_v->writeValuesToMATLABFile(mesh, "e_v.m");
FunctionPtr posErrPart = Teuchos::rcp(new PositivePart(e_v->dx()));
hessianBF->addTerm(e_v->dx()*u,du);
// hessianBF->addTerm(posErrPart*u,du);
Teuchos::RCP<HessianFilter> hessianFilter = Teuchos::rcp(new HessianFilter(hessianBF));
if (useHessian)
{
solution->setWriteMatrixToFile(true,"hessianStiffness.dat");
}
else
{
solution->setWriteMatrixToFile(true,"stiffness.dat");
}
Teuchos::RCP< LineSearchStep > LS_Step = Teuchos::rcp(new LineSearchStep(riesz));
double NL_residual = 9e99;
for (int i = 0; i<numSteps; i++)
{
solution->solve(false); // do one solve to initialize things...
double stepLength = 1.0;
stepLength = LS_Step->stepSize(backgroundFlow,solution, NL_residual);
if (useHessian)
{
solution->setFilter(hessianFilter);
}
backgroundFlow->addSolution(solution,stepLength);
NL_residual = LS_Step->getNLResidual();
if (rank==0)
{
cout << "NL residual after adding = " << NL_residual << " with step size " << stepLength << endl;
}
int numGlobalDofs = mesh->numGlobalDofs();
double fd_gradient;
for (int dofIndex = 0; dofIndex<numGlobalDofs; dofIndex++)
{
TestingUtilities::initializeSolnCoeffs(solnPerturbation);
TestingUtilities::setSolnCoeffForGlobalDofIndex(solnPerturbation,1.0,dofIndex);
fd_gradient = FiniteDifferenceUtilities::finiteDifferenceGradient(mesh, riesz, backgroundFlow, dofIndex);
// CHECK GRADIENT
LinearTermPtr b_u = bf->testFunctional(solnPerturbation);
map<int,FunctionPtr> NL_err_rep_map;
NL_err_rep_map[v->ID()] = Teuchos::rcp(new RepFunction(v,riesz));
FunctionPtr gradient = b_u->evaluate(NL_err_rep_map, TestingUtilities::isFluxOrTraceDof(mesh,dofIndex)); // use boundary part only if flux or trace
double grad;
if (TestingUtilities::isFluxOrTraceDof(mesh,dofIndex))
{
grad = gradient->integralOfJump(mesh,10);
}
else
{
grad = gradient->integrate(mesh,10);
}
double fdgrad = fd_gradient;
double diff = grad-fdgrad;
if (abs(diff)>1e-6 && i>0)
{
cout << "Found difference of " << diff << ", " << " with fd val = " << fdgrad << " and gradient = " << grad << " in dof " << dofIndex << ", isTraceDof = " << TestingUtilities::isFluxOrTraceDof(mesh,dofIndex) << endl;
}
}
}
if (rank==0)
{
backgroundFlow->writeToVTK("BurgersTest.vtu",min(H1Order+1,4));
solution->writeFluxesToFile(fn->ID(),"fn.dat");
cout << "wrote solution files" << endl;
}
return 0;
}
int main(int argc, char *argv[])
{
Teuchos::GlobalMPISession mpiSession(&argc, &argv, NULL); // initialize MPI
Teuchos::CommandLineProcessor cmdp(false,true); // false: don't throw exceptions; true: do return errors for unrecognized options
int numElements = 3;
vector<vector<double>> domainDim(3,vector<double>{0.0,1.0}); // first index: spaceDim; second: 0/1 for x0, x1, etc.
int polyOrder = 2, delta_k = 1;
int spaceDim = 2;
cmdp.setOption("numElements", &numElements );
cmdp.setOption("polyOrder", &polyOrder );
cmdp.setOption("delta_k", &delta_k );
cmdp.setOption("x0", &domainDim[0][0] );
cmdp.setOption("x1", &domainDim[0][1] );
cmdp.setOption("y0", &domainDim[1][0] );
cmdp.setOption("y1", &domainDim[1][1] );
cmdp.setOption("z0", &domainDim[2][0] );
cmdp.setOption("z1", &domainDim[2][1] );
cmdp.setOption("spaceDim", &spaceDim);
if (cmdp.parse(argc,argv) != Teuchos::CommandLineProcessor::PARSE_SUCCESSFUL)
{
#ifdef HAVE_MPI
MPI_Finalize();
#endif
return -1;
}
vector<double> x0(spaceDim);
vector<double> domainSize(spaceDim);
vector<int> elementCounts(spaceDim);
for (int d=0; d<spaceDim; d++)
{
x0[d] = domainDim[d][0];
domainSize[d] = domainDim[d][1] - x0[d];
elementCounts[d] = numElements;
}
bool conformingTraces = true; // no difference for primal/continuous formulations
PoissonFormulation formCG(spaceDim, conformingTraces, PoissonFormulation::CONTINUOUS_GALERKIN);
VarPtr q = formCG.q();
VarPtr phi = formCG.phi();
BFPtr bf = formCG.bf();
MeshPtr bubnovMesh = MeshFactory::rectilinearMesh(bf, domainSize, elementCounts, polyOrder, 0, x0);
// Right now, hanging nodes don't work with continuous field variables
// there is a GDAMinimumRule test demonstrating the failure, SolvePoisson2DContinuousGalerkinHangingNode.
// make a mesh with hanging nodes (when spaceDim > 1)
// {
// set<GlobalIndexType> cellsToRefine = {0};
// bubnovMesh->hRefine(cellsToRefine);
// }
RHSPtr rhs = RHS::rhs();
rhs->addTerm(1.0 * q); // unit forcing
IPPtr ip = Teuchos::null; // will give Bubnov-Galerkin
BCPtr bc = BC::bc();
bc->addDirichlet(phi, SpatialFilter::allSpace(), Function::zero());
SolutionPtr solution = Solution::solution(bf, bubnovMesh, bc, rhs, ip);
solution->solve();
HDF5Exporter exporter(bubnovMesh, "PoissonContinuousGalerkin");
exporter.exportSolution(solution);
/**** Sort-of-primal experiment ****/
// an experiment: try doing "primal" DPG with IBP to the boundary
// ip = IP::ip();
// ip->addTerm(q->grad());
// ip->addTerm(q);
//
// solution = Solution::solution(bf, bubnovMesh, bc, rhs, ip);
// solution->solve();
//
// HDF5Exporter primalNoFluxExporter(bubnovMesh, "PoissonPrimalNoFlux");
// primalNoFluxExporter.exportSolution(solution);
//*** Primal Formulation ***//
PoissonFormulation form(spaceDim, conformingTraces, PoissonFormulation::PRIMAL);
q = form.q();
phi = form.phi();
bf = form.bf();
bc = BC::bc();
bc->addDirichlet(phi, SpatialFilter::allSpace(), Function::zero());
rhs = RHS::rhs();
rhs->addTerm(1.0 * q); // unit forcing
MeshPtr primalMesh = MeshFactory::rectilinearMesh(bf, domainSize, elementCounts, polyOrder, delta_k, x0);
ip = IP::ip();
ip->addTerm(q->grad());
ip->addTerm(q);
// Right now, hanging nodes don't work with continuous field variables
// there is a GDAMinimumRule test demonstrating the failure, SolvePoisson2DContinuousGalerkinHangingNode.
// make a mesh with hanging nodes (when spaceDim > 1)
// {
// set<GlobalIndexType> cellsToRefine = {0};
// primalMesh->hRefine(cellsToRefine);
// }
solution = Solution::solution(bf, primalMesh, bc, rhs, ip);
solution->solve();
HDF5Exporter primalExporter(primalMesh, "PoissonPrimal");
primalExporter.exportSolution(solution);
return 0;
}
int main(int argc, char *argv[]) {
#ifdef HAVE_MPI
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
choice::MpiArgs args( argc, argv );
#else
choice::Args args( argc, argv );
#endif
int commRank = Teuchos::GlobalMPISession::getRank();
int numProcs = Teuchos::GlobalMPISession::getNProc();
// Required arguments
int numRefs = args.Input<int>("--numRefs", "number of refinement steps");
int norm = args.Input<int>("--norm", "0 = graph\n 1 = robust\n 2 = coupled robust");
// Optional arguments (have defaults)
bool enforceLocalConservation = args.Input<bool>("--conserve", "enforce local conservation", false);
double Re = args.Input("--Re", "Reynolds number", 40);
double nu = 1./Re;
double lambda = Re/2.-sqrt(Re*Re/4+4*pi*pi);
int maxNewtonIterations = args.Input("--maxIterations", "maximum number of Newton iterations", 20);
int polyOrder = args.Input("--polyOrder", "polynomial order for field variables", 2);
int deltaP = args.Input("--deltaP", "how much to enrich test space", 2);
// string saveFile = args.Input<string>("--meshSaveFile", "file to which to save refinement history", "");
// string replayFile = args.Input<string>("--meshLoadFile", "file with refinement history to replay", "");
args.Process();
// if (commRank==0)
// {
// cout << "saveFile is " << saveFile << endl;
// cout << "loadFile is " << replayFile << endl;
// }
//////////////////// PROBLEM DEFINITIONS ///////////////////////
int H1Order = polyOrder+1;
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactory varFactory;
VarPtr tau11 = varFactory.testVar("tau11", HGRAD);
VarPtr tau12 = varFactory.testVar("tau12", HGRAD);
VarPtr tau22 = varFactory.testVar("tau22", HGRAD);
VarPtr v1 = varFactory.testVar("v1", HGRAD);
VarPtr v2 = varFactory.testVar("v2", HGRAD);
// define trial variables
VarPtr u1 = varFactory.fieldVar("u1");
VarPtr u2 = varFactory.fieldVar("u2");
VarPtr sigma11 = varFactory.fieldVar("sigma11");
VarPtr sigma12 = varFactory.fieldVar("sigma12");
VarPtr sigma22 = varFactory.fieldVar("sigma22");
VarPtr u1hat = varFactory.traceVar("u1hat");
VarPtr u2hat = varFactory.traceVar("u2hat");
VarPtr t1hat = varFactory.fluxVar("t1hat");
VarPtr t2hat = varFactory.fluxVar("t2hat");
//////////////////// BUILD MESH ///////////////////////
BFPtr bf = Teuchos::rcp( new BF(varFactory) );
// define nodes for mesh
FieldContainer<double> meshBoundary(4,2);
double xmin = -0.5;
double xmax = 1.0;
double ymin = -0.5;
double ymax = 1.5;
meshBoundary(0,0) = xmin; // x1
meshBoundary(0,1) = ymin; // y1
meshBoundary(1,0) = xmax;
meshBoundary(1,1) = ymin;
meshBoundary(2,0) = xmax;
meshBoundary(2,1) = ymax;
meshBoundary(3,0) = xmin;
meshBoundary(3,1) = ymax;
int horizontalCells = 6, verticalCells = 8;
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = MeshFactory::buildQuadMesh(meshBoundary, horizontalCells, verticalCells,
bf, H1Order, H1Order+deltaP);
////////////////////////////////////////////////////////////////////
// INITIALIZE BACKGROUND FLOW FUNCTIONS
////////////////////////////////////////////////////////////////////
BCPtr nullBC = Teuchos::rcp((BC*)NULL);
RHSPtr nullRHS = Teuchos::rcp((RHS*)NULL);
IPPtr nullIP = Teuchos::rcp((IP*)NULL);
SolutionPtr backgroundFlow = Teuchos::rcp(new Solution(mesh, nullBC, nullRHS, nullIP) );
vector<double> e1(2); // (1,0)
e1[0] = 1;
vector<double> e2(2); // (0,1)
e2[1] = 1;
FunctionPtr u1_prev = Function::solution(u1, backgroundFlow);
FunctionPtr u2_prev = Function::solution(u2, backgroundFlow);
// FunctionPtr sigma11_prev = Function::solution(sigma11, backgroundFlow);
// FunctionPtr sigma12_prev = Function::solution(sigma12, backgroundFlow);
// FunctionPtr sigma22_prev = Function::solution(sigma22, backgroundFlow);
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
FunctionPtr one = Teuchos::rcp( new ConstantScalarFunction(1.0) );
FunctionPtr u1Exact = Teuchos::rcp( new ExactU1(lambda) );
FunctionPtr u2Exact = Teuchos::rcp( new ExactU2(lambda) );
// ==================== SET INITIAL GUESS ==========================
map<int, Teuchos::RCP<Function> > functionMap;
// functionMap[u1->ID()] = u1Exact;
// functionMap[u2->ID()] = u2Exact;
functionMap[u1->ID()] = zero;
functionMap[u2->ID()] = zero;
backgroundFlow->projectOntoMesh(functionMap);
//////////////////// DEFINE BILINEAR FORM ///////////////////////
// stress equation
bf->addTerm( 1./nu*sigma11, tau11 );
bf->addTerm( 1./nu*sigma12, tau12 );
bf->addTerm( 1./nu*sigma12, tau12 );
bf->addTerm( 1./nu*sigma22, tau22 );
bf->addTerm( -0.5/nu*sigma11, tau11 );
bf->addTerm( -0.5/nu*sigma22, tau11 );
bf->addTerm( -0.5/nu*sigma11, tau22 );
bf->addTerm( -0.5/nu*sigma22, tau22 );
bf->addTerm( 2*u1, tau11->dx() );
bf->addTerm( 2*u1, tau12->dy() );
bf->addTerm( 2*u2, tau12->dx() );
bf->addTerm( 2*u2, tau22->dy() );
bf->addTerm( -2*u1hat, tau11->times_normal_x() );
bf->addTerm( -2*u1hat, tau12->times_normal_y() );
bf->addTerm( -2*u2hat, tau12->times_normal_x() );
bf->addTerm( -2*u2hat, tau22->times_normal_y() );
// momentum equation
bf->addTerm( -2.*u1_prev*u1, v1->dx() );
bf->addTerm( -u2_prev*u1, v1->dy() );
bf->addTerm( -u1_prev*u2, v1->dy() );
bf->addTerm( -u2_prev*u1, v2->dx() );
bf->addTerm( -u1_prev*u2, v2->dx() );
bf->addTerm( -2.*u2_prev*u2, v2->dy() );
bf->addTerm( sigma11, v1->dx() );
bf->addTerm( sigma12, v1->dy() );
bf->addTerm( sigma12, v2->dx() );
bf->addTerm( sigma22, v2->dy() );
bf->addTerm( t1hat, v1);
bf->addTerm( t2hat, v2);
//////////////////// SPECIFY RHS ///////////////////////
RHSPtr rhs = RHS::rhs();
// stress equation
rhs->addTerm( -2*u1_prev * tau11->dx() );
rhs->addTerm( -2*u1_prev * tau12->dy() );
rhs->addTerm( -2*u2_prev * tau12->dx() );
rhs->addTerm( -2*u2_prev * tau22->dy() );
// momentum equation
rhs->addTerm( u1_prev*u1_prev * v1->dx() );
rhs->addTerm( u2_prev*u1_prev * v1->dy() );
rhs->addTerm( u2_prev*u1_prev * v2->dx() );
rhs->addTerm( u2_prev*u2_prev * v2->dy() );
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
IPPtr ip = Teuchos::rcp(new IP);
if (norm == 0)
{
ip = bf->graphNorm();
}
else if (norm == 1)
{
ip->addTerm( 0.5/nu*tau11-0.5/nu*tau22 + v1->dx() );
ip->addTerm( 1./nu*tau12 + v1->dy() );
ip->addTerm( 1./nu*tau12 + v2->dx() );
ip->addTerm( 0.5/nu*tau22-0.5/nu*tau11 + v2->dy() );
ip->addTerm( 2*tau11->dx() + 2*tau12->dy() - 2*u1_prev*v1->dx() - u2_prev*v1->dy() - u2_prev*v2->dx() );
ip->addTerm( 2*tau12->dx() + 2*tau22->dy() - 2*u2_prev*v2->dy() - u1_prev*v1->dy() - u1_prev*v2->dx() );
ip->addTerm( v1 );
ip->addTerm( v2 );
ip->addTerm( tau11 );
ip->addTerm( tau12 );
ip->addTerm( tau12 );
ip->addTerm( tau22 );
}
else if (norm == 2)
{
// ip->addTerm( 0.5/sqrt(nu)*tau11-0.5/nu*tau22 );
// ip->addTerm( 1./sqrt(nu)*tau12 );
// ip->addTerm( 1./sqrt(nu)*tau12 );
// ip->addTerm( 0.5/sqrt(nu)*tau22-0.5/nu*tau11 );
ip->addTerm( tau11 );
ip->addTerm( tau12 );
ip->addTerm( tau12 );
ip->addTerm( tau22 );
ip->addTerm( 2*tau11->dx() + 2*tau12->dy() - 2*u1_prev*v1->dx() - u2_prev*v1->dy() - u2_prev*v2->dx() );
ip->addTerm( 2*tau12->dx() + 2*tau22->dy() - 2*u2_prev*v2->dy() - u1_prev*v1->dy() - u1_prev*v2->dx() );
ip->addTerm( 2*u1_prev*v1->dx() + u2_prev*v1->dy() + u2_prev*v2->dx() );
ip->addTerm( 2*u2_prev*v2->dy() + u1_prev*v1->dy() + u1_prev*v2->dx() );
ip->addTerm( sqrt(nu)*v1->grad() );
ip->addTerm( sqrt(nu)*v2->grad() );
ip->addTerm( v1 );
ip->addTerm( v2 );
}
//////////////////// CREATE BCs ///////////////////////
BCPtr bc = BC::bc();
// Teuchos::RCP<PenaltyConstraints> pc = Teuchos::rcp( new PenaltyConstraints );
SpatialFilterPtr left = Teuchos::rcp( new ConstantXBoundary(-0.5) );
SpatialFilterPtr right = Teuchos::rcp( new ConstantXBoundary(1) );
SpatialFilterPtr top = Teuchos::rcp( new ConstantYBoundary(-0.5) );
SpatialFilterPtr bottom = Teuchos::rcp( new ConstantYBoundary(1.5) );
bc->addDirichlet(u1hat, left, u1Exact);
bc->addDirichlet(u2hat, left, u2Exact);
bc->addDirichlet(u1hat, right, u1Exact);
bc->addDirichlet(u2hat, right, u2Exact);
bc->addDirichlet(u1hat, top, u1Exact);
bc->addDirichlet(u2hat, top, u2Exact);
bc->addDirichlet(u1hat, bottom, u1Exact);
bc->addDirichlet(u2hat, bottom, u2Exact);
// bc->addDirichlet(u1hat, left, zero);
// bc->addDirichlet(u2hat, left, zero);
// bc->addDirichlet(u1hat, right, zero);
// bc->addDirichlet(u2hat, right, zero);
// bc->addDirichlet(u1hat, top, zero);
// bc->addDirichlet(u2hat, top, zero);
// bc->addDirichlet(u1hat, bottom, zero);
// bc->addDirichlet(u2hat, bottom, zero);
// pc->addConstraint(u1hat*u2hat-t1hat == zero, top);
// pc->addConstraint(u2hat*u2hat-t2hat == zero, top);
Teuchos::RCP<Solution> solution = Teuchos::rcp( new Solution(mesh, bc, rhs, ip) );
// solution->setFilter(pc);
// if (enforceLocalConservation) {
// solution->lagrangeConstraints()->addConstraint(u1hat->times_normal_x() + u2hat->times_normal_y() == zero);
// }
// ==================== Register Solutions ==========================
mesh->registerSolution(solution);
mesh->registerSolution(backgroundFlow);
// Teuchos::RCP< RefinementHistory > refHistory = Teuchos::rcp( new RefinementHistory );
// mesh->registerObserver(refHistory);
//////////////////// SOLVE & REFINE ///////////////////////
double energyThreshold = 0.2; // for mesh refinements
RefinementStrategy refinementStrategy( solution, energyThreshold );
HDF5Exporter exporter(mesh, "Kovasznay_np");
ofstream convOut;
stringstream convOutFile;
convOutFile << "Kovasznay_conv_" << Re <<".txt";
if (commRank == 0)
convOut.open(convOutFile.str().c_str());
set<int> nonlinearVars;
nonlinearVars.insert(u1->ID());
nonlinearVars.insert(u2->ID());
double nonlinearRelativeEnergyTolerance = 1e-5; // used to determine convergence of the nonlinear solution
for (int refIndex=0; refIndex<=numRefs; refIndex++)
{
double L2Update = 1e10;
int iterCount = 0;
while (L2Update > nonlinearRelativeEnergyTolerance && iterCount < maxNewtonIterations)
{
solution->solve(false);
double u1L2Update = solution->L2NormOfSolutionGlobal(u1->ID());
double u2L2Update = solution->L2NormOfSolutionGlobal(u2->ID());
L2Update = sqrt(u1L2Update*u1L2Update + u2L2Update*u2L2Update);
// Check local conservation
if (commRank == 0)
{
cout << "L2 Norm of Update = " << L2Update << endl;
// if (saveFile.length() > 0) {
// std::ostringstream oss;
// oss << string(saveFile) << refIndex ;
// cout << "on refinement " << refIndex << " saving mesh file to " << oss.str() << endl;
// refHistory->saveToFile(oss.str());
// }
}
// line search algorithm
double alpha = 1.0;
backgroundFlow->addSolution(solution, alpha, nonlinearVars);
iterCount++;
}
exporter.exportSolution(backgroundFlow, varFactory, refIndex, 2, cellIDToSubdivision(mesh, 4));
FunctionPtr u1Soln = Function::solution(u1, backgroundFlow);
FunctionPtr u2Soln = Function::solution(u2, backgroundFlow);
FunctionPtr u1Sqr = (u1Soln-u1Exact)*(u1Soln-u1Exact);
FunctionPtr u2Sqr = (u2Soln-u2Exact)*(u2Soln-u2Exact);
double u1L2Error = u1Sqr->integrate(mesh, 1e-5);
double u2L2Error = u2Sqr->integrate(mesh, 1e-5);
double l2Error = sqrt(u1L2Error+u2L2Error);
double energyError = solution->energyErrorTotal();
cout << "L2 Error: " << l2Error << " Energy Error: " << energyError << endl;
if (refIndex < numRefs)
refinementStrategy.refine(commRank==0); // print to console on commRank 0
}
return 0;
}
int main(int argc, char *argv[])
{
#ifdef HAVE_MPI
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
int rank=mpiSession.getRank();
int numProcs=mpiSession.getNProc();
#else
int rank = 0;
int numProcs = 1;
#endif
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactory varFactory;
VarPtr tau = varFactory.testVar("\\tau", HDIV);
VarPtr v = varFactory.testVar("v", HGRAD);
// define trial variables
VarPtr uhat = varFactory.traceVar("\\widehat{u}");
VarPtr beta_n_u_minus_sigma_n = varFactory.fluxVar("\\widehat{\\beta \\cdot n u - \\sigma_{n}}");
VarPtr u = varFactory.fieldVar("u");
VarPtr sigma1 = varFactory.fieldVar("\\sigma_1");
VarPtr sigma2 = varFactory.fieldVar("\\sigma_2");
vector<double> beta_const;
beta_const.push_back(1.0);
beta_const.push_back(0.0);
// FunctionPtr beta = Teuchos::rcp(new Beta());
double eps = 1e-2;
//////////////////// DEFINE BILINEAR FORM ///////////////////////
BFPtr confusionBF = Teuchos::rcp( new BF(varFactory) );
// tau terms:
confusionBF->addTerm(sigma1 / eps, tau->x());
confusionBF->addTerm(sigma2 / eps, tau->y());
confusionBF->addTerm(u, tau->div());
confusionBF->addTerm(-uhat, tau->dot_normal());
// v terms:
confusionBF->addTerm( sigma1, v->dx() );
confusionBF->addTerm( sigma2, v->dy() );
confusionBF->addTerm( beta_const * u, - v->grad() );
confusionBF->addTerm( beta_n_u_minus_sigma_n, v);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
// mathematician's norm
IPPtr mathIP = Teuchos::rcp(new IP());
mathIP->addTerm(tau);
mathIP->addTerm(tau->div());
mathIP->addTerm(v);
mathIP->addTerm(v->grad());
// quasi-optimal norm
IPPtr qoptIP = Teuchos::rcp(new IP);
qoptIP->addTerm( v );
qoptIP->addTerm( tau / eps + v->grad() );
qoptIP->addTerm( beta_const * v->grad() - tau->div() );
// robust test norm
IPPtr robIP = Teuchos::rcp(new IP);
FunctionPtr ip_scaling = Teuchos::rcp( new EpsilonScaling(eps) );
if (enforceLocalConservation)
{
robIP->addZeroMeanTerm( v );
}
else
{
robIP->addTerm( ip_scaling * v );
}
robIP->addTerm( sqrt(eps) * v->grad() );
robIP->addTerm( beta_const * v->grad() );
robIP->addTerm( tau->div() );
robIP->addTerm( ip_scaling/sqrt(eps) * tau );
//////////////////// SPECIFY RHS ///////////////////////
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
Teuchos::RCP<RHSEasy> rhs = Teuchos::rcp( new RHSEasy );
FunctionPtr f = zero;
rhs->addTerm( f * v ); // obviously, with f = 0 adding this term is not necessary!
//////////////////// CREATE BCs ///////////////////////
Teuchos::RCP<BCEasy> bc = Teuchos::rcp( new BCEasy );
// SpatialFilterPtr inflowBoundary = Teuchos::rcp( new InflowSquareBoundary );
// SpatialFilterPtr outflowBoundary = Teuchos::rcp( new OutflowSquareBoundary );
SpatialFilterPtr inflowTop = Teuchos::rcp(new InflowLshapeTop);
SpatialFilterPtr inflowBot = Teuchos::rcp(new InflowLshapeBottom);
SpatialFilterPtr LshapeBot1 = Teuchos::rcp(new LshapeBottom1);
SpatialFilterPtr LshapeBot2 = Teuchos::rcp(new LshapeBottom2);
SpatialFilterPtr Top = Teuchos::rcp(new LshapeTop);
SpatialFilterPtr Out = Teuchos::rcp(new LshapeOutflow);
FunctionPtr u0 = Teuchos::rcp( new U0 );
bc->addDirichlet(uhat, LshapeBot1, u0);
bc->addDirichlet(uhat, LshapeBot2, u0);
bc->addDirichlet(uhat, Top, u0);
bc->addDirichlet(uhat, Out, u0);
FunctionPtr n = Teuchos::rcp( new UnitNormalFunction );
// bc->addDirichlet(uhat, inflowBot, u0);
FunctionPtr u0Top = Teuchos::rcp(new ParabolicProfile);
FunctionPtr u0Bot = Teuchos::rcp(new LinearProfile);
bc->addDirichlet(beta_n_u_minus_sigma_n, inflowTop, beta_const*n*u0Top);
// bc->addDirichlet(beta_n_u_minus_sigma_n, inflowBot, beta_const*n*u0Bot);
bc->addDirichlet(beta_n_u_minus_sigma_n, inflowBot, beta_const*n*zero);
//////////////////// BUILD MESH ///////////////////////
// define nodes for mesh
int H1Order = 2, pToAdd = 2;
/*
FieldContainer<double> quadPoints(4,2);
quadPoints(0,0) = 0.0; // x1
quadPoints(0,1) = 0.0; // y1
quadPoints(1,0) = 1.0;
quadPoints(1,1) = 0.0;
quadPoints(2,0) = 1.0;
quadPoints(2,1) = 1.0;
quadPoints(3,0) = 0.0;
quadPoints(3,1) = 1.0;
int horizontalCells = 1, verticalCells = 1;
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = Mesh::buildQuadMesh(quadPoints, horizontalCells, verticalCells,
confusionBF, H1Order, H1Order+pToAdd);
*/
Teuchos::RCP<Mesh> mesh;
// L-shaped domain for double ramp problem
FieldContainer<double> A(2), B(2), C(2), D(2), E(2), F(2), G(2), H(2);
A(0) = 0.0;
A(1) = 0.5;
B(0) = 0.0;
B(1) = 1.0;
C(0) = 0.5;
C(1) = 1.0;
D(0) = 1.0;
D(1) = 1.0;
E(0) = 1.0;
E(1) = 0.5;
F(0) = 1.0;
F(1) = 0.0;
G(0) = 0.5;
G(1) = 0.0;
H(0) = 0.5;
H(1) = 0.5;
vector<FieldContainer<double> > vertices;
vertices.push_back(A);
int A_index = 0;
vertices.push_back(B);
int B_index = 1;
vertices.push_back(C);
int C_index = 2;
vertices.push_back(D);
int D_index = 3;
vertices.push_back(E);
int E_index = 4;
vertices.push_back(F);
int F_index = 5;
vertices.push_back(G);
int G_index = 6;
vertices.push_back(H);
int H_index = 7;
vector< vector<int> > elementVertices;
vector<int> el1, el2, el3, el4, el5;
// left patch:
el1.push_back(A_index);
el1.push_back(H_index);
el1.push_back(C_index);
el1.push_back(B_index);
// top right:
el2.push_back(H_index);
el2.push_back(E_index);
el2.push_back(D_index);
el2.push_back(C_index);
// bottom right:
el3.push_back(G_index);
el3.push_back(F_index);
el3.push_back(E_index);
el3.push_back(H_index);
elementVertices.push_back(el1);
elementVertices.push_back(el2);
elementVertices.push_back(el3);
mesh = Teuchos::rcp( new Mesh(vertices, elementVertices, confusionBF, H1Order, pToAdd) );
//////////////////// SOLVE & REFINE ///////////////////////
// Teuchos::RCP<Solution> solution = Teuchos::rcp( new Solution(mesh, bc, rhs, qoptIP) );
Teuchos::RCP<Solution> solution = Teuchos::rcp( new Solution(mesh, bc, rhs, robIP) );
// solution->setFilter(pc);
if (enforceLocalConservation)
{
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
solution->lagrangeConstraints()->addConstraint(beta_n_u_minus_sigma_n == zero);
}
double energyThreshold = 0.2; // for mesh refinements
RefinementStrategy refinementStrategy( solution, energyThreshold );
int numRefs = 8;
for (int refIndex=0; refIndex<numRefs; refIndex++)
{
solution->solve(false);
refinementStrategy.refine(rank==0); // print to console on rank 0
}
// one more solve on the final refined mesh:
solution->solve(false);
if (rank==0)
{
solution->writeToVTK("step.vtu",min(H1Order+1,4));
solution->writeFluxesToFile(uhat->ID(), "uhat.dat");
cout << "wrote files: u.m, uhat.dat\n";
}
return 0;
}
// tests whether a mixed type LT
bool ScratchPadTests::testIntegrateDiscontinuousFunction()
{
bool success = true;
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactoryPtr varFactory = VarFactory::varFactory();
VarPtr v = varFactory->testVar("v", HGRAD);
vector<double> beta;
beta.push_back(1.0);
beta.push_back(1.0);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
// robust test norm
IPPtr ip = Teuchos::rcp(new IP);
ip->addTerm(v);
ip->addTerm(beta*v->grad());
// for projections
IPPtr ipL2 = Teuchos::rcp(new IP);
ipL2->addTerm(v);
// define trial variables
VarPtr beta_n_u = varFactory->fluxVar("\\widehat{\\beta \\cdot n }");
VarPtr u = varFactory->fieldVar("u");
//////////////////// BUILD MESH ///////////////////////
BFPtr convectionBF = Teuchos::rcp( new BF(varFactory) );
// v terms:
convectionBF->addTerm( -u, beta * v->grad() );
convectionBF->addTerm( beta_n_u, v);
// define nodes for mesh
int order = 1;
int H1Order = order+1;
int pToAdd = 1;
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = MeshUtilities::buildUnitQuadMesh(2, 1, convectionBF, H1Order, H1Order+pToAdd);
//////////////////// integrate discontinuous function - cellIDFunction ///////////////////////
// FunctionPtr cellIDFxn = Teuchos::rcp(new CellIDFunction); // should be 0 on cellID 0, 1 on cellID 1
set<int> cellIDs;
cellIDs.insert(1); // 0 on cell 0, 1 on cell 1
FunctionPtr indicator = Teuchos::rcp(new IndicatorFunction(cellIDs)); // should be 0 on cellID 0, 1 on cellID 1
double jumpWeight = 13.3; // some random number
FunctionPtr edgeRestrictionFxn = Teuchos::rcp(new EdgeFunction);
FunctionPtr X = Function::xn(1);
LinearTermPtr integrandLT = Function::constant(1.0)*v + Function::constant(jumpWeight)*X*edgeRestrictionFxn*v;
// make riesz representation function to more closely emulate the error rep
LinearTermPtr indicatorLT = Teuchos::rcp(new LinearTerm);// residual
indicatorLT->addTerm(indicator*v);
Teuchos::RCP<RieszRep> riesz = Teuchos::rcp(new RieszRep(mesh, ipL2, indicatorLT));
riesz->computeRieszRep();
map<int,FunctionPtr> vmap;
vmap[v->ID()] = RieszRep::repFunction(v,riesz); // SHOULD BE L2 projection = same thing!!!
FunctionPtr volumeIntegrand = integrandLT->evaluate(vmap,false);
FunctionPtr edgeRestrictedIntegrand = integrandLT->evaluate(vmap,true);
double edgeRestrictedValue = volumeIntegrand->integrate(mesh,10) + edgeRestrictedIntegrand->integrate(mesh,10);
double expectedValue = .5 + .5*jumpWeight;
double diff = abs(expectedValue-edgeRestrictedValue);
if (abs(diff)>1e-11)
{
success = false;
cout << "Failed testIntegrateDiscontinuousFunction() with expectedValue = " << expectedValue << " and actual value = " << edgeRestrictedValue << endl;
}
return success;
}
int main(int argc, char *argv[])
{
#ifdef HAVE_MPI
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
choice::MpiArgs args( argc, argv );
#else
choice::Args args( argc, argv );
#endif
int rank = Teuchos::GlobalMPISession::getRank();
int numProcs = Teuchos::GlobalMPISession::getNProc();
int nCells = args.Input<int>("--nCells", "num cells",2);
int numRefs = args.Input<int>("--numRefs","num adaptive refinements",0);
int numPreRefs = args.Input<int>("--numPreRefs","num preemptive adaptive refinements",0);
int order = args.Input<int>("--order","order of approximation",2);
double eps = args.Input<double>("--epsilon","diffusion parameter",1e-2);
double energyThreshold = args.Input<double>("-energyThreshold","energy thresh for adaptivity", .5);
double rampHeight = args.Input<double>("--rampHeight","ramp height at x = 2", 0.0);
bool useAnisotropy = args.Input<bool>("--useAnisotropy","aniso flag ", false);
FunctionPtr zero = Function::constant(0.0);
FunctionPtr one = Function::constant(1.0);
FunctionPtr n = Teuchos::rcp( new UnitNormalFunction );
vector<double> e1,e2;
e1.push_back(1.0);
e1.push_back(0.0);
e2.push_back(0.0);
e2.push_back(1.0);
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactory varFactory;
VarPtr tau = varFactory.testVar("\\tau", HDIV);
VarPtr v = varFactory.testVar("v", HGRAD);
// define trial variables
VarPtr uhat = varFactory.traceVar("\\widehat{u}");
VarPtr beta_n_u_minus_sigma_n = varFactory.fluxVar("\\widehat{\\beta \\cdot n u - \\sigma_{n}}");
VarPtr u = varFactory.fieldVar("u");
VarPtr sigma1 = varFactory.fieldVar("\\sigma_1");
VarPtr sigma2 = varFactory.fieldVar("\\sigma_2");
vector<double> beta;
beta.push_back(1.0);
beta.push_back(0.0);
//////////////////// DEFINE BILINEAR FORM ///////////////////////
BFPtr confusionBF = Teuchos::rcp( new BF(varFactory) );
// tau terms:
confusionBF->addTerm(sigma1 / eps, tau->x());
confusionBF->addTerm(sigma2 / eps, tau->y());
confusionBF->addTerm(u, tau->div());
confusionBF->addTerm(uhat, -tau->dot_normal());
// v terms:
confusionBF->addTerm( sigma1, v->dx() );
confusionBF->addTerm( sigma2, v->dy() );
confusionBF->addTerm( -u, beta * v->grad() );
confusionBF->addTerm( beta_n_u_minus_sigma_n, v);
// first order term with magnitude alpha
double alpha = 0.0;
confusionBF->addTerm(alpha * u, v);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
// robust test norm
IPPtr robIP = Teuchos::rcp(new IP);
FunctionPtr C_h = Teuchos::rcp( new EpsilonScaling(eps) );
FunctionPtr invH = Teuchos::rcp(new InvHScaling);
FunctionPtr invSqrtH = Teuchos::rcp(new InvSqrtHScaling);
FunctionPtr sqrtH = Teuchos::rcp(new SqrtHScaling);
robIP->addTerm(v*alpha);
robIP->addTerm(invSqrtH*v);
// robIP->addTerm(v);
robIP->addTerm(sqrt(eps) * v->grad() );
robIP->addTerm(beta * v->grad() );
robIP->addTerm(tau->div() );
robIP->addTerm(C_h/sqrt(eps) * tau );
LinearTermPtr vVecLT = Teuchos::rcp(new LinearTerm);
LinearTermPtr tauVecLT = Teuchos::rcp(new LinearTerm);
vVecLT->addTerm(sqrt(eps)*v->grad());
tauVecLT->addTerm(C_h/sqrt(eps)*tau);
LinearTermPtr restLT = Teuchos::rcp(new LinearTerm);
restLT->addTerm(alpha*v);
restLT->addTerm(invSqrtH*v);
restLT = restLT + beta * v->grad();
restLT = restLT + tau->div();
//////////////////// SPECIFY RHS ///////////////////////
Teuchos::RCP<RHSEasy> rhs = Teuchos::rcp( new RHSEasy );
FunctionPtr f = zero;
// f = one;
rhs->addTerm( f * v ); // obviously, with f = 0 adding this term is not necessary!
//////////////////// CREATE BCs ///////////////////////
Teuchos::RCP<BCEasy> bc = Teuchos::rcp( new BCEasy );
// SpatialFilterPtr inflowBoundary = Teuchos::rcp( new InflowSquareBoundary );
// SpatialFilterPtr outflowBoundary = Teuchos::rcp( new OutflowSquareBoundary);
// bc->addDirichlet(beta_n_u_minus_sigma_n, inflowBoundary, zero);
// bc->addDirichlet(uhat, outflowBoundary, zero);
SpatialFilterPtr rampInflow = Teuchos::rcp(new LeftInflow);
SpatialFilterPtr rampBoundary = MeshUtilities::rampBoundary(rampHeight);
SpatialFilterPtr freeStream = Teuchos::rcp(new FreeStreamBoundary);
SpatialFilterPtr outflowBoundary = Teuchos::rcp(new OutflowBoundary);
bc->addDirichlet(uhat, rampBoundary, one);
// bc->addDirichlet(uhat, outflowBoundary, one);
bc->addDirichlet(beta_n_u_minus_sigma_n, rampInflow, zero);
bc->addDirichlet(beta_n_u_minus_sigma_n, freeStream, zero);
//////////////////// BUILD MESH ///////////////////////
// define nodes for mesh
int H1Order = order+1;
int pToAdd = 2;
// create a pointer to a new mesh:
// Teuchos::RCP<Mesh> mesh = MeshUtilities::buildUnitQuadMesh(nCells,confusionBF, H1Order, H1Order+pToAdd);
Teuchos::RCP<Mesh> mesh = MeshUtilities::buildRampMesh(rampHeight,confusionBF, H1Order, H1Order+pToAdd);
mesh->setPartitionPolicy(Teuchos::rcp(new ZoltanMeshPartitionPolicy("HSFC")));
//////////////////// SOLVE & REFINE ///////////////////////
Teuchos::RCP<Solution> solution;
solution = Teuchos::rcp( new Solution(mesh, bc, rhs, robIP) );
// solution->solve(false);
solution->condensedSolve();
LinearTermPtr residual = rhs->linearTermCopy();
residual->addTerm(-confusionBF->testFunctional(solution));
RieszRepPtr rieszResidual = Teuchos::rcp(new RieszRep(mesh, robIP, residual));
rieszResidual->computeRieszRep();
FunctionPtr e_v = Teuchos::rcp(new RepFunction(v,rieszResidual));
FunctionPtr e_tau = Teuchos::rcp(new RepFunction(tau,rieszResidual));
map<int,FunctionPtr> errRepMap;
errRepMap[v->ID()] = e_v;
errRepMap[tau->ID()] = e_tau;
FunctionPtr errTau = tauVecLT->evaluate(errRepMap,false);
FunctionPtr errV = vVecLT->evaluate(errRepMap,false);
FunctionPtr errRest = restLT->evaluate(errRepMap,false);
FunctionPtr xErr = (errTau->x())*(errTau->x()) + (errV->dx())*(errV->dx());
FunctionPtr yErr = (errTau->y())*(errTau->y()) + (errV->dy())*(errV->dy());
FunctionPtr restErr = errRest*errRest;
RefinementStrategy refinementStrategy( solution, energyThreshold );
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// PRE REFINEMENTS
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
if (rank==0)
{
cout << "Number of pre-refinements = " << numPreRefs << endl;
}
for (int i =0; i<=numPreRefs; i++)
{
vector<ElementPtr> elems = mesh->activeElements();
vector<ElementPtr>::iterator elemIt;
vector<int> wallCells;
for (elemIt=elems.begin(); elemIt != elems.end(); elemIt++)
{
int cellID = (*elemIt)->cellID();
int numSides = mesh->getElement(cellID)->numSides();
FieldContainer<double> vertices(numSides,2); //for quads
mesh->verticesForCell(vertices, cellID);
bool cellIDset = false;
for (int j = 0; j<numSides; j++)
{
if ((abs(vertices(j,0)-1.0)<1e-7) && (abs(vertices(j,1))<1e-7) && !cellIDset) // if at singularity, i.e. if a vertex is (1,0)
{
wallCells.push_back(cellID);
cellIDset = true;
}
}
}
if (i<numPreRefs)
{
refinementStrategy.refineCells(wallCells);
}
}
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
VTKExporter exporter(solution, mesh, varFactory);
for (int refIndex=0; refIndex<numRefs; refIndex++)
{
if (rank==0)
{
cout << "on ref index " << refIndex << endl;
}
rieszResidual->computeRieszRep(); // in preparation to get anisotropy
vector<int> cellIDs;
refinementStrategy.getCellsAboveErrorThreshhold(cellIDs);
map<int,double> energyError = solution->energyError();
map<int,double> xErrMap = xErr->cellIntegrals(cellIDs,mesh,5,true);
map<int,double> yErrMap = yErr->cellIntegrals(cellIDs,mesh,5,true);
map<int,double> restErrMap = restErr->cellIntegrals(cellIDs,mesh,5,true);
for (vector<ElementPtr>::iterator elemIt = mesh->activeElements().begin(); elemIt!=mesh->activeElements().end(); elemIt++)
{
int cellID = (*elemIt)->cellID();
double err = xErrMap[cellID]+ yErrMap[cellID] + restErrMap[cellID];
if (rank==0)
cout << "err thru LT = " << sqrt(err) << ", while energy err = " << energyError[cellID] << endl;
}
map<int,double> ratio,xErr,yErr;
vector<ElementPtr> elems = mesh->activeElements();
for (vector<ElementPtr>::iterator elemIt = elems.begin(); elemIt!=elems.end(); elemIt++)
{
int cellID = (*elemIt)->cellID();
ratio[cellID] = 0.0;
xErr[cellID] = 0.0;
yErr[cellID] = 0.0;
if (std::find(cellIDs.begin(),cellIDs.end(),cellID)!=cellIDs.end()) // if this cell is above energy thresh
{
ratio[cellID] = yErrMap[cellID]/xErrMap[cellID];
xErr[cellID] = xErrMap[cellID];
yErr[cellID] = yErrMap[cellID];
}
}
FunctionPtr ratioFxn = Teuchos::rcp(new EnergyErrorFunction(ratio));
FunctionPtr xErrFxn = Teuchos::rcp(new EnergyErrorFunction(xErr));
FunctionPtr yErrFxn = Teuchos::rcp(new EnergyErrorFunction(yErr));
std::ostringstream oss;
oss << refIndex;
exporter.exportFunction(ratioFxn, string("ratio")+oss.str());
exporter.exportFunction(xErrFxn, string("xErr")+oss.str());
exporter.exportFunction(yErrFxn, string("yErr")+oss.str());
if (useAnisotropy)
{
refinementStrategy.refine(rank==0,xErrMap,yErrMap); //anisotropic refinements
}
else
{
refinementStrategy.refine(rank==0); // no anisotropy
}
solution->condensedSolve();
}
// final solve on final mesh
solution->condensedSolve();
//////////////////// print to file ///////////////////////
FunctionPtr orderFxn = Teuchos::rcp(new MeshPolyOrderFunction(mesh));
std::ostringstream oss;
oss << nCells;
if (rank==0)
{
exporter.exportSolution(string("robustIP")+oss.str());
exporter.exportFunction(orderFxn, "meshOrder");
cout << endl;
}
return 0;
}
bool ScratchPadTests::testGalerkinOrthogonality()
{
double tol = 1e-11;
bool success = true;
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactoryPtr varFactory = VarFactory::varFactory();
VarPtr v = varFactory->testVar("v", HGRAD);
vector<double> beta;
beta.push_back(1.0);
beta.push_back(1.0);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
// robust test norm
IPPtr ip = Teuchos::rcp(new IP);
ip->addTerm(v);
ip->addTerm(beta*v->grad());
// define trial variables
VarPtr beta_n_u = varFactory->fluxVar("\\widehat{\\beta \\cdot n }");
VarPtr u = varFactory->fieldVar("u");
//////////////////// BUILD MESH ///////////////////////
BFPtr convectionBF = Teuchos::rcp( new BF(varFactory) );
FunctionPtr n = Function::normal();
// v terms:
convectionBF->addTerm( -u, beta * v->grad() );
convectionBF->addTerm( beta_n_u, v);
// define nodes for mesh
int order = 2;
int H1Order = order+1;
int pToAdd = 1;
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = MeshUtilities::buildUnitQuadMesh(4, convectionBF, H1Order, H1Order+pToAdd);
//////////////////// SOLVE ///////////////////////
RHSPtr rhs = RHS::rhs();
BCPtr bc = BC::bc();
SpatialFilterPtr inflowBoundary = Teuchos::rcp( new InflowSquareBoundary );
SpatialFilterPtr outflowBoundary = Teuchos::rcp( new NegatedSpatialFilter(inflowBoundary) );
FunctionPtr uIn;
uIn = Teuchos::rcp(new Uinflow); // uses a discontinuous piecewise-constant basis function on left and bottom sides of square
bc->addDirichlet(beta_n_u, inflowBoundary, beta*n*uIn);
Teuchos::RCP<Solution> solution;
solution = Teuchos::rcp( new Solution(mesh, bc, rhs, ip) );
solution->solve(false);
FunctionPtr uFxn = Function::solution(u, solution);
FunctionPtr fnhatFxn = Function::solution(beta_n_u,solution);
// make residual for riesz representation function
LinearTermPtr residual = Teuchos::rcp(new LinearTerm);// residual
FunctionPtr parity = Function::sideParity();
residual->addTerm(-fnhatFxn*v + (beta*uFxn)*v->grad());
Teuchos::RCP<RieszRep> riesz = Teuchos::rcp(new RieszRep(mesh, ip, residual));
riesz->computeRieszRep();
map<int,FunctionPtr> err_rep_map;
err_rep_map[v->ID()] = RieszRep::repFunction(v,riesz);
//////////////////// GET BOUNDARY CONDITION DATA ///////////////////////
FieldContainer<GlobalIndexType> bcGlobalIndices;
FieldContainer<double> bcGlobalValues;
mesh->boundary().bcsToImpose(bcGlobalIndices,bcGlobalValues,*(solution->bc()), NULL);
set<int> bcInds;
for (int i=0; i<bcGlobalIndices.dimension(0); i++)
{
bcInds.insert(bcGlobalIndices(i));
}
//////////////////// CHECK GALERKIN ORTHOGONALITY ///////////////////////
BCPtr nullBC;
RHSPtr nullRHS;
IPPtr nullIP;
SolutionPtr solnPerturbation = Teuchos::rcp(new Solution(mesh, nullBC, nullRHS, nullIP) );
map< int, vector<DofInfo> > infoMap = constructGlobalDofToLocalDofInfoMap(mesh);
for (map< int, vector<DofInfo> >::iterator mapIt = infoMap.begin();
mapIt != infoMap.end(); mapIt++)
{
int dofIndex = mapIt->first;
vector< DofInfo > dofInfoVector = mapIt->second; // all the local dofs that map to dofIndex
// create perturbation in direction du
solnPerturbation->clear(); // clear all solns
// set each corresponding local dof to 1.0
for (vector< DofInfo >::iterator dofInfoIt = dofInfoVector.begin();
dofInfoIt != dofInfoVector.end(); dofInfoIt++)
{
DofInfo info = *dofInfoIt;
FieldContainer<double> solnCoeffs(info.basisCardinality);
solnCoeffs(info.basisOrdinal) = 1.0;
solnPerturbation->setSolnCoeffsForCellID(solnCoeffs, info.cellID, info.trialID, info.sideIndex);
}
// solnPerturbation->setSolnCoeffForGlobalDofIndex(1.0,dofIndex);
LinearTermPtr b_du = convectionBF->testFunctional(solnPerturbation);
FunctionPtr gradient = b_du->evaluate(err_rep_map, TestingUtilities::isFluxOrTraceDof(mesh,dofIndex)); // use boundary part only if flux
double grad = gradient->integrate(mesh,10);
if (!TestingUtilities::isFluxOrTraceDof(mesh,dofIndex) && abs(grad)>tol) // if we're not single-precision zero FOR FIELDS
{
// int cellID = mesh->getGlobalToLocalMap()[dofIndex].first;
cout << "Failed testGalerkinOrthogonality() for fields with diff " << abs(grad) << " at dof " << dofIndex << "; info:" << endl;
cout << dofInfoString(infoMap[dofIndex]);
success = false;
}
}
FieldContainer<double> errorJumps(mesh->numGlobalDofs()); //initialized to zero
// just test fluxes ON INTERNAL SKELETON here
set<GlobalIndexType> activeCellIDs = mesh->getActiveCellIDsGlobal();
for (GlobalIndexType activeCellID : activeCellIDs)
{
ElementPtr elem = mesh->getElement(activeCellID);
for (int sideIndex = 0; sideIndex < 4; sideIndex++)
{
ElementTypePtr elemType = elem->elementType();
vector<int> localDofIndices = elemType->trialOrderPtr->getDofIndices(beta_n_u->ID(), sideIndex);
for (int i = 0; i<localDofIndices.size(); i++)
{
int globalDofIndex = mesh->globalDofIndex(elem->cellID(), localDofIndices[i]);
vector< DofInfo > dofInfoVector = infoMap[globalDofIndex];
solnPerturbation->clear();
TestingUtilities::setSolnCoeffForGlobalDofIndex(solnPerturbation,1.0,globalDofIndex);
// also add in BCs
for (int i = 0; i<bcGlobalIndices.dimension(0); i++)
{
TestingUtilities::setSolnCoeffForGlobalDofIndex(solnPerturbation,bcGlobalValues(i),bcGlobalIndices(i));
}
LinearTermPtr b_du = convectionBF->testFunctional(solnPerturbation);
FunctionPtr gradient = b_du->evaluate(err_rep_map, TestingUtilities::isFluxOrTraceDof(mesh,globalDofIndex)); // use boundary part only if flux
double jump = gradient->integrate(mesh,10);
errorJumps(globalDofIndex) += jump;
}
}
}
for (int i = 0; i<mesh->numGlobalDofs(); i++)
{
if (abs(errorJumps(i))>tol)
{
cout << "Failing Galerkin orthogonality test for fluxes with diff " << errorJumps(i) << " at dof " << i << endl;
cout << dofInfoString(infoMap[i]);
success = false;
}
}
return success;
}
int main(int argc, char *argv[]) {
#ifdef HAVE_MPI
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
int rank=mpiSession.getRank();
int numProcs=mpiSession.getNProc();
#else
int rank = 0;
int numProcs = 1;
#endif
bool useCompliantGraphNorm = false;
bool enforceOneIrregularity = true;
bool writeStiffnessMatrices = false;
bool writeWorstCaseGramMatrices = false;
int numRefs = 10;
// problem parameters:
double eps = 1e-8;
vector<double> beta_const;
beta_const.push_back(2.0);
beta_const.push_back(1.0);
int k = 2, delta_k = 2;
Teuchos::CommandLineProcessor cmdp(false,true); // false: don't throw exceptions; true: do return errors for unrecognized options
cmdp.setOption("polyOrder",&k,"polynomial order for field variable u");
cmdp.setOption("delta_k", &delta_k, "test space polynomial order enrichment");
cmdp.setOption("numRefs",&numRefs,"number of refinements");
cmdp.setOption("eps", &eps, "epsilon");
if (cmdp.parse(argc,argv) != Teuchos::CommandLineProcessor::PARSE_SUCCESSFUL) {
#ifdef HAVE_MPI
MPI_Finalize();
#endif
return -1;
}
int H1Order = k + 1;
if (rank==0) {
string normChoice = useCompliantGraphNorm ? "unit-compliant graph norm" : "standard graph norm";
cout << "Using " << normChoice << "." << endl;
cout << "eps = " << eps << endl;
cout << "numRefs = " << numRefs << endl;
cout << "p = " << k << endl;
}
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactory varFactory;
VarPtr tau = varFactory.testVar("\\tau", HDIV);
VarPtr v = varFactory.testVar("v", HGRAD);
// define trial variables
VarPtr uhat = varFactory.traceVar("\\widehat{u}");
VarPtr beta_n_u_minus_sigma_n = varFactory.fluxVar("\\widehat{\\beta \\cdot n u - \\sigma_{n}}");
VarPtr u;
if (useCompliantGraphNorm) {
u = varFactory.fieldVar("u",HGRAD);
} else {
u = varFactory.fieldVar("u");
}
VarPtr sigma1 = varFactory.fieldVar("\\sigma_1");
VarPtr sigma2 = varFactory.fieldVar("\\sigma_2");
//////////////////// DEFINE BILINEAR FORM ///////////////////////
BFPtr confusionBF = Teuchos::rcp( new BF(varFactory) );
// tau terms:
confusionBF->addTerm(sigma1 / eps, tau->x());
confusionBF->addTerm(sigma2 / eps, tau->y());
confusionBF->addTerm(u, tau->div());
confusionBF->addTerm(-uhat, tau->dot_normal());
// v terms:
confusionBF->addTerm( sigma1, v->dx() );
confusionBF->addTerm( sigma2, v->dy() );
confusionBF->addTerm( beta_const * u, - v->grad() );
confusionBF->addTerm( beta_n_u_minus_sigma_n, v);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
// mathematician's norm
IPPtr mathIP = Teuchos::rcp(new IP());
mathIP->addTerm(tau);
mathIP->addTerm(tau->div());
mathIP->addTerm(v);
mathIP->addTerm(v->grad());
// quasi-optimal norm
IPPtr qoptIP = Teuchos::rcp(new IP);
if (!useCompliantGraphNorm) {
qoptIP->addTerm( tau / eps + v->grad() );
qoptIP->addTerm( beta_const * v->grad() - tau->div() );
qoptIP->addTerm( v );
} else {
FunctionPtr h = Teuchos::rcp( new hFunction );
// here, we're aiming at optimality in 1/h^2 |u|^2 + 1/eps^2 |sigma|^2
qoptIP->addTerm( tau + eps * v->grad() );
qoptIP->addTerm( h * beta_const * v->grad() - tau->div() );
qoptIP->addTerm(v);
qoptIP->addTerm(tau);
}
//////////////////// SPECIFY RHS ///////////////////////
RHSPtr rhs = RHS::rhs();
FunctionPtr f = Teuchos::rcp( new ConstantScalarFunction(0.0) );
rhs->addTerm( f * v ); // obviously, with f = 0 adding this term is not necessary!
//////////////////// CREATE BCs ///////////////////////
BCPtr bc = BC::bc();
SpatialFilterPtr inflowBoundary = Teuchos::rcp( new InflowSquareBoundary );
SpatialFilterPtr outflowBoundary = Teuchos::rcp( new OutflowSquareBoundary );
FunctionPtr u0 = Teuchos::rcp( new U0 );
bc->addDirichlet(uhat, outflowBoundary, u0);
bc->addDirichlet(uhat, inflowBoundary, u0);
// Teuchos::RCP<PenaltyConstraints> pc = Teuchos::rcp(new PenaltyConstraints);
// pc->addConstraint(uhat==u0,inflowBoundary);
//////////////////// BUILD MESH ///////////////////////
// create a new mesh on a single-cell, unit square domain
Teuchos::RCP<Mesh> mesh = MeshFactory::quadMeshMinRule(confusionBF, H1Order, delta_k);
//////////////////// SOLVE & REFINE ///////////////////////
Teuchos::RCP<Solution> solution = Teuchos::rcp( new Solution(mesh, bc, rhs, qoptIP) );
// solution->setFilter(pc);
double energyThreshold = 0.2; // for mesh refinements
bool useRieszRepBasedRefStrategy = true;
if (rank==0) {
if (useRieszRepBasedRefStrategy) {
cout << "using RieszRep-based refinement strategy.\n";
} else {
cout << "using solution-based refinement strategy.\n";
}
}
Teuchos::RCP<RefinementStrategy> refinementStrategy;
if (!useRieszRepBasedRefStrategy) {
refinementStrategy = Teuchos::rcp( new RefinementStrategy( solution, energyThreshold ) );
} else {
LinearTermPtr residual = confusionBF->testFunctional(solution) - rhs->linearTerm();
refinementStrategy = Teuchos::rcp( new RefinementStrategy( mesh, residual, qoptIP, energyThreshold ) );
}
refinementStrategy->setReportPerCellErrors(true);
refinementStrategy->setEnforceOneIrregularity(enforceOneIrregularity);
for (int refIndex=0; refIndex<numRefs; refIndex++){
if (writeStiffnessMatrices) {
string stiffnessFile = fileNameForRefinement("confusion_stiffness", refIndex);
solution->setWriteMatrixToFile(true, stiffnessFile);
}
solution->solve();
if (writeWorstCaseGramMatrices) {
string gramFile = fileNameForRefinement("confusion_gram", refIndex);
bool jacobiScaling = true;
double condNum = MeshUtilities::computeMaxLocalConditionNumber(qoptIP, mesh, jacobiScaling, gramFile);
if (rank==0) {
cout << "estimated worst-case Gram matrix condition number: " << condNum << endl;
cout << "putative worst-case Gram matrix written to file " << gramFile << endl;
}
}
if (refIndex == numRefs-1) { // write out second-to-last mesh
if (rank==0)
GnuPlotUtil::writeComputationalMeshSkeleton("confusionMesh", mesh, true);
}
refinementStrategy->refine(rank==0); // print to console on rank 0
}
if (writeStiffnessMatrices) {
string stiffnessFile = fileNameForRefinement("confusion_stiffness", numRefs);
solution->setWriteMatrixToFile(true, stiffnessFile);
}
if (writeWorstCaseGramMatrices) {
string gramFile = fileNameForRefinement("confusion_gram", numRefs);
bool jacobiScaling = true;
double condNum = MeshUtilities::computeMaxLocalConditionNumber(qoptIP, mesh, jacobiScaling, gramFile);
if (rank==0) {
cout << "estimated worst-case Gram matrix condition number: " << condNum << endl;
cout << "putative worst-case Gram matrix written to file " << gramFile << endl;
}
}
// one more solve on the final refined mesh:
solution->solve();
#ifdef HAVE_EPETRAEXT_HDF5
ostringstream dir_name;
dir_name << "confusion_eps" << eps;
HDF5Exporter exporter(mesh,dir_name.str());
exporter.exportSolution(solution, varFactory, 0);
if (rank==0) cout << "wrote solution to " << dir_name.str() << endl;
#endif
return 0;
}
// tests to make sure that the rieszNorm computed via matrices is the same as the one computed thru direct integration
bool ScratchPadTests::testRieszIntegration()
{
double tol = 1e-11;
bool success = true;
int nCells = 2;
double eps = .25;
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactoryPtr varFactory = VarFactory::varFactory();
VarPtr tau = varFactory->testVar("\\tau", HDIV);
VarPtr v = varFactory->testVar("v", HGRAD);
// define trial variables
VarPtr uhat = varFactory->traceVar("\\widehat{u}");
VarPtr beta_n_u_minus_sigma_n = varFactory->fluxVar("\\widehat{\\beta \\cdot n u - \\sigma_{n}}");
VarPtr u = varFactory->fieldVar("u");
VarPtr sigma1 = varFactory->fieldVar("\\sigma_1");
VarPtr sigma2 = varFactory->fieldVar("\\sigma_2");
vector<double> beta;
beta.push_back(1.0);
beta.push_back(0.0);
//////////////////// DEFINE BILINEAR FORM ///////////////////////
BFPtr confusionBF = Teuchos::rcp( new BF(varFactory) );
// tau terms:
confusionBF->addTerm(sigma1 / eps, tau->x());
confusionBF->addTerm(sigma2 / eps, tau->y());
confusionBF->addTerm(u, tau->div());
confusionBF->addTerm(uhat, -tau->dot_normal());
// v terms:
confusionBF->addTerm( sigma1, v->dx() );
confusionBF->addTerm( sigma2, v->dy() );
confusionBF->addTerm( -u, beta * v->grad() );
confusionBF->addTerm( beta_n_u_minus_sigma_n, v);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
// robust test norm
IPPtr ip = Teuchos::rcp(new IP);
// just H1 projection
ip->addTerm(v->grad());
ip->addTerm(v);
ip->addTerm(tau);
ip->addTerm(tau->div());
//////////////////// SPECIFY RHS AND HELPFUL FUNCTIONS ///////////////////////
FunctionPtr n = Function::normal();
vector<double> e1,e2;
e1.push_back(1.0);
e1.push_back(0.0);
e2.push_back(0.0);
e2.push_back(1.0);
FunctionPtr one = Function::constant(1.0);
FunctionPtr zero = Function::constant(0.0);
RHSPtr rhs = RHS::rhs();
FunctionPtr f = one;
rhs->addTerm( f * v ); // obviously, with f = 0 adding this term is not necessary!
//////////////////// CREATE BCs ///////////////////////
BCPtr bc = BC::bc();
SpatialFilterPtr squareBoundary = Teuchos::rcp( new SquareBoundary );
bc->addDirichlet(uhat, squareBoundary, zero);
//////////////////// BUILD MESH ///////////////////////
// define nodes for mesh
int order = 2;
int H1Order = order+1;
int pToAdd = 2;
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = MeshUtilities::buildUnitQuadMesh(nCells,confusionBF, H1Order, H1Order+pToAdd);
//////////////////// SOLVE & REFINE ///////////////////////
LinearTermPtr lt = Teuchos::rcp(new LinearTerm);
FunctionPtr fxn = Function::xn(1); // fxn = x
lt->addTerm(fxn*v + fxn->grad()*v->grad());
lt->addTerm(fxn*tau->x() + fxn*tau->y() + (fxn->dx() + fxn->dy())*tau->div());
Teuchos::RCP<RieszRep> rieszLT = Teuchos::rcp(new RieszRep(mesh, ip, lt));
rieszLT->computeRieszRep();
double rieszNorm = rieszLT->getNorm();
FunctionPtr e_v = RieszRep::repFunction(v,rieszLT);
FunctionPtr e_tau = RieszRep::repFunction(tau,rieszLT);
map<int,FunctionPtr> repFxns;
repFxns[v->ID()] = e_v;
repFxns[tau->ID()] = e_tau;
double integratedNorm = sqrt((lt->evaluate(repFxns,false))->integrate(mesh,5,true));
success = abs(rieszNorm-integratedNorm)<tol;
if (success==false)
{
cout << "Failed testRieszIntegration; riesz norm is computed to be = " << rieszNorm << ", while using integration it's computed to be " << integratedNorm << endl;
return success;
}
return success;
}
int main(int argc, char *argv[])
{
#ifdef HAVE_MPI
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
choice::MpiArgs args( argc, argv );
#else
choice::Args args( argc, argv );
#endif
int commRank = Teuchos::GlobalMPISession::getRank();
int numProcs = Teuchos::GlobalMPISession::getNProc();
// Required arguments
double epsilon = args.Input<double>("--epsilon", "diffusion parameter");
int numRefs = args.Input<int>("--numRefs", "number of refinement steps");
bool enforceLocalConservation = args.Input<bool>("--conserve", "enforce local conservation");
int norm = args.Input<int>("--norm", "0 = graph\n 1 = robust\n 2 = modified robust");
// Optional arguments (have defaults)
bool zeroL2 = args.Input("--zeroL2", "take L2 term on v in robust norm to zero", false);
args.Process();
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactory varFactory;
VarPtr tau = varFactory.testVar("\\tau", HDIV);
VarPtr v = varFactory.testVar("v", HGRAD);
// define trial variables
VarPtr uhat = varFactory.traceVar("\\widehat{u}");
VarPtr beta_n_u_minus_sigma_n = varFactory.fluxVar("\\widehat{\\beta \\cdot n u - \\sigma_{n}}");
VarPtr u = varFactory.fieldVar("u");
VarPtr sigma = varFactory.fieldVar("sigma", VECTOR_L2);
vector<double> beta;
beta.push_back(1.0);
beta.push_back(0.0);
//////////////////// DEFINE BILINEAR FORM ///////////////////////
BFPtr bf = Teuchos::rcp( new BF(varFactory) );
// tau terms:
bf->addTerm(sigma / epsilon, tau);
bf->addTerm(u, tau->div());
bf->addTerm(-uhat, tau->dot_normal());
// v terms:
bf->addTerm( sigma, v->grad() );
bf->addTerm( beta * u, - v->grad() );
bf->addTerm( beta_n_u_minus_sigma_n, v);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
IPPtr ip = Teuchos::rcp(new IP);
if (norm == 0)
{
ip = bf->graphNorm();
FunctionPtr h2_scaling = Teuchos::rcp( new ZeroMeanScaling );
ip->addZeroMeanTerm( h2_scaling*v );
}
// Robust norm
else if (norm == 1)
{
// robust test norm
FunctionPtr ip_scaling = Teuchos::rcp( new EpsilonScaling(epsilon) );
FunctionPtr h2_scaling = Teuchos::rcp( new ZeroMeanScaling );
if (!zeroL2)
ip->addTerm( v );
ip->addTerm( sqrt(epsilon) * v->grad() );
// Weight these two terms for inflow
ip->addTerm( beta * v->grad() );
ip->addTerm( tau->div() );
ip->addTerm( ip_scaling/sqrt(epsilon) * tau );
if (zeroL2)
ip->addZeroMeanTerm( h2_scaling*v );
}
// Modified robust norm
else if (norm == 2)
{
// robust test norm
FunctionPtr ip_scaling = Teuchos::rcp( new EpsilonScaling(epsilon) );
FunctionPtr h2_scaling = Teuchos::rcp( new ZeroMeanScaling );
// FunctionPtr ip_weight = Teuchos::rcp( new IPWeight() );
if (!zeroL2)
ip->addTerm( v );
ip->addTerm( sqrt(epsilon) * v->grad() );
ip->addTerm( beta * v->grad() );
ip->addTerm( tau->div() - beta*v->grad() );
ip->addTerm( ip_scaling/sqrt(epsilon) * tau );
if (zeroL2)
ip->addZeroMeanTerm( h2_scaling*v );
}
// // robust test norm
// IPPtr robIP = Teuchos::rcp(new IP);
// FunctionPtr ip_scaling = Teuchos::rcp( new EpsilonScaling(epsilon) );
// if (!enforceLocalConservation)
// robIP->addTerm( ip_scaling * v );
// robIP->addTerm( sqrt(epsilon) * v->grad() );
// // Weight these two terms for inflow
// FunctionPtr ip_weight = Teuchos::rcp( new IPWeight() );
// robIP->addTerm( ip_weight * beta * v->grad() );
// robIP->addTerm( ip_weight * tau->div() );
// robIP->addTerm( ip_scaling/sqrt(epsilon) * tau );
// if (enforceLocalConservation)
// robIP->addZeroMeanTerm( v );
//////////////////// SPECIFY RHS ///////////////////////
Teuchos::RCP<RHSEasy> rhs = Teuchos::rcp( new RHSEasy );
FunctionPtr f = Teuchos::rcp( new ConstantScalarFunction(0.0) );
rhs->addTerm( f * v ); // obviously, with f = 0 adding this term is not necessary!
//////////////////// CREATE BCs ///////////////////////
Teuchos::RCP<BCEasy> bc = Teuchos::rcp( new BCEasy );
Teuchos::RCP<PenaltyConstraints> pc = Teuchos::rcp( new PenaltyConstraints );
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
FunctionPtr one = Teuchos::rcp( new ConstantScalarFunction(1.0) );
FunctionPtr n = Teuchos::rcp( new UnitNormalFunction );
SpatialFilterPtr lBoundary = Teuchos::rcp( new LeftBoundary );
SpatialFilterPtr tbBoundary = Teuchos::rcp( new TopBottomBoundary );
SpatialFilterPtr rBoundary = Teuchos::rcp( new RightBoundary );
// SpatialFilterPtr leftCircleBoundary = Teuchos::rcp( new LeftCircleBoundary );
// SpatialFilterPtr rightCircleBoundary = Teuchos::rcp( new RightCircleBoundary );
SpatialFilterPtr circleBoundary = Teuchos::rcp( new CircleBoundary );
bc->addDirichlet(beta_n_u_minus_sigma_n, lBoundary, zero);
bc->addDirichlet(beta_n_u_minus_sigma_n, tbBoundary, zero);
pc->addConstraint(beta*uhat->times_normal() - beta_n_u_minus_sigma_n == zero, rBoundary);
// bc->addDirichlet(uhat, leftCircleBoundary, one);
// bc->addDirichlet(beta_n_u_minus_sigma_n, rightCircleBoundary, beta*n*one);
bc->addDirichlet(uhat, circleBoundary, one);
//////////////////// BUILD MESH ///////////////////////
// define nodes for mesh
int H1Order = 3, pToAdd = 2;
Teuchos::RCP<Mesh> mesh;
mesh = MeshFactory::shiftedHemkerMesh(-3, 9, 6, 1, bf, H1Order, pToAdd);
// mesh = BuildHemkerMesh(bf, nseg, circleMesh, triangulateMesh, H1Order, pToAdd);
//////////////////// SOLVE & REFINE ///////////////////////
Teuchos::RCP<Solution> solution = Teuchos::rcp( new Solution(mesh, bc, rhs, ip) );
solution->setFilter(pc);
if (enforceLocalConservation)
{
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
solution->lagrangeConstraints()->addConstraint(beta_n_u_minus_sigma_n == zero);
}
double energyThreshold = 0.25; // for mesh refinements
RefinementStrategy refinementStrategy( solution, energyThreshold );
Teuchos::RCP<RefinementHistory> refHistory = Teuchos::rcp( new RefinementHistory );
mesh->registerObserver(refHistory);
#ifdef saveVTK
VTKExporter exporter(solution, mesh, varFactory);
#endif
ofstream errOut;
if (commRank == 0)
errOut.open("hemker_err.txt");
for (int refIndex=0; refIndex<=numRefs; refIndex++)
{
solution->solve(false);
double energy_error = solution->energyErrorTotal();
if (commRank==0)
{
stringstream outfile;
outfile << "hemker_" << refIndex;
#ifdef saveVTK
exporter.exportSolution(outfile.str());
#endif
// Check local conservation
FunctionPtr flux = Teuchos::rcp( new PreviousSolutionFunction(solution, beta_n_u_minus_sigma_n) );
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
Teuchos::Tuple<double, 3> fluxImbalances = checkConservation(flux, zero, varFactory, mesh);
cout << "Mass flux: Largest Local = " << fluxImbalances[0]
<< ", Global = " << fluxImbalances[1] << ", Sum Abs = " << fluxImbalances[2] << endl;
errOut << mesh->numGlobalDofs() << " " << energy_error << " "
<< fluxImbalances[0] << " " << fluxImbalances[1] << " " << fluxImbalances[2] << endl;
}
if (refIndex < numRefs)
refinementStrategy.refine(commRank==0); // print to console on commRank 0
}
if (commRank == 0)
errOut.close();
return 0;
}
int main(int argc, char *argv[])
{
#ifdef HAVE_MPI
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
choice::MpiArgs args( argc, argv );
#else
choice::Args args( argc, argv );
#endif
int commRank = Teuchos::GlobalMPISession::getRank();
int numProcs = Teuchos::GlobalMPISession::getNProc();
// Required arguments
double epsilon = args.Input<double>("--epsilon", "diffusion parameter");
int numRefs = args.Input<int>("--numRefs", "number of refinement steps");
bool enforceLocalConservation = args.Input<bool>("--conserve", "enforce local conservation");
bool graphNorm = args.Input<bool>("--graphNorm", "use the graph norm rather than robust test norm");
// Optional arguments (have defaults)
bool highLiftAirfoil = args.Input("--highLift", "use high lift airfoil rather than NACA0012", false);
args.Process();
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactory varFactory;
VarPtr tau = varFactory.testVar("tau", HDIV);
VarPtr v = varFactory.testVar("v", HGRAD);
// define trial variables
VarPtr uhat = varFactory.traceVar("uhat");
VarPtr beta_n_u_minus_sigma_n = varFactory.fluxVar("fhat");
VarPtr u = varFactory.fieldVar("u");
VarPtr sigma = varFactory.fieldVar("sigma", VECTOR_L2);
vector<double> beta;
beta.push_back(1.0);
beta.push_back(0.25);
//////////////////// DEFINE BILINEAR FORM ///////////////////////
BFPtr bf = Teuchos::rcp( new BF(varFactory) );
// tau terms:
bf->addTerm(sigma / epsilon, tau);
bf->addTerm(u, tau->div());
bf->addTerm(-uhat, tau->dot_normal());
// v terms:
bf->addTerm( sigma, v->grad() );
bf->addTerm( beta * u, - v->grad() );
bf->addTerm( beta_n_u_minus_sigma_n, v);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
IPPtr ip = Teuchos::rcp(new IP);
if (graphNorm)
{
ip = bf->graphNorm();
}
else
{
// robust test norm
FunctionPtr ip_scaling = Teuchos::rcp( new EpsilonScaling(epsilon) );
if (!enforceLocalConservation)
ip->addTerm( ip_scaling * v );
ip->addTerm( sqrt(epsilon) * v->grad() );
// Weight these two terms for inflow
ip->addTerm( beta * v->grad() );
ip->addTerm( tau->div() );
ip->addTerm( ip_scaling/sqrt(epsilon) * tau );
if (enforceLocalConservation)
ip->addZeroMeanTerm( v );
}
//////////////////// SPECIFY RHS ///////////////////////
Teuchos::RCP<RHSEasy> rhs = Teuchos::rcp( new RHSEasy );
FunctionPtr f = Teuchos::rcp( new ConstantScalarFunction(0.0) );
rhs->addTerm( f * v ); // obviously, with f = 0 adding this term is not necessary!
//////////////////// CREATE BCs ///////////////////////
Teuchos::RCP<BCEasy> bc = Teuchos::rcp( new BCEasy );
Teuchos::RCP<PenaltyConstraints> pc = Teuchos::rcp( new PenaltyConstraints );
SpatialFilterPtr lBoundary = Teuchos::rcp( new LeftBoundary );
SpatialFilterPtr tBoundary = Teuchos::rcp( new TopBoundary );
SpatialFilterPtr bBoundary = Teuchos::rcp( new BottomBoundary );
SpatialFilterPtr rBoundary = Teuchos::rcp( new RightBoundary );
FunctionPtr n = Teuchos::rcp( new UnitNormalFunction );
SpatialFilterPtr airfoilInflowBoundary = Teuchos::rcp( new AirfoilInflowBoundary(beta) );
SpatialFilterPtr airfoilOutflowBoundary = Teuchos::rcp( new AirfoilOutflowBoundary(beta) );
FunctionPtr u0 = Teuchos::rcp( new ZeroBC );
FunctionPtr u1 = Teuchos::rcp( new OneBC );
bc->addDirichlet(beta_n_u_minus_sigma_n, lBoundary, u0);
bc->addDirichlet(beta_n_u_minus_sigma_n, bBoundary, u0);
// bc->addDirichlet(uhat, airfoilInflowBoundary, u1);
// bc->addDirichlet(uhat, tBoundary, u0);
bc->addDirichlet(beta_n_u_minus_sigma_n, airfoilInflowBoundary, beta*n*u1);
bc->addDirichlet(uhat, airfoilOutflowBoundary, u1);
// pc->addConstraint(beta*uhat->times_normal() - beta_n_u_minus_sigma_n == u0, rBoundary);
// pc->addConstraint(beta*uhat->times_normal() - beta_n_u_minus_sigma_n == u0, tBoundary);
//////////////////// BUILD MESH ///////////////////////
// define nodes for mesh
int H1Order = 3, pToAdd = 2;
Teuchos::RCP<Mesh> mesh;
if (highLiftAirfoil)
mesh = Mesh::readTriangle(Camellia_MeshDir+"HighLift/HighLift.1", bf, H1Order, pToAdd);
else
mesh = Mesh::readTriangle(Camellia_MeshDir+"NACA0012/NACA0012.1", bf, H1Order, pToAdd);
//////////////////// SOLVE & REFINE ///////////////////////
Teuchos::RCP<Solution> solution = Teuchos::rcp( new Solution(mesh, bc, rhs, ip) );
// solution->setFilter(pc);
if (enforceLocalConservation)
{
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
solution->lagrangeConstraints()->addConstraint(beta_n_u_minus_sigma_n == zero);
}
double energyThreshold = 0.2; // for mesh refinements
RefinementStrategy refinementStrategy( solution, energyThreshold );
VTKExporter exporter(solution, mesh, varFactory);
for (int refIndex=0; refIndex<=numRefs; refIndex++)
{
solution->solve(false);
if (commRank == 0)
{
stringstream outfile;
if (highLiftAirfoil)
outfile << "highlift_" << refIndex;
else
outfile << "naca0012_" << refIndex;
exporter.exportSolution(outfile.str());
// Check local conservation
FunctionPtr flux = Teuchos::rcp( new PreviousSolutionFunction(solution, beta_n_u_minus_sigma_n) );
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
Teuchos::Tuple<double, 3> fluxImbalances = checkConservation(flux, zero, varFactory, mesh);
cout << "Mass flux: Largest Local = " << fluxImbalances[0]
<< ", Global = " << fluxImbalances[1] << ", Sum Abs = " << fluxImbalances[2] << endl;
}
if (refIndex < numRefs)
{
// refinementStrategy.refine(commRank==0); // print to console on commRank 0
// Try pseudo-hp adaptive
vector<int> cellsToRefine;
vector<int> cells_h;
vector<int> cells_p;
refinementStrategy.getCellsAboveErrorThreshhold(cellsToRefine);
for (int i=0; i < cellsToRefine.size(); i++)
if (sqrt(mesh->getCellMeasure(cellsToRefine[i])) < epsilon)
{
int pOrder = mesh->cellPolyOrder(cellsToRefine[i]);
if (pOrder < 8)
cells_p.push_back(cellsToRefine[i]);
else
cells_h.push_back(cellsToRefine[i]);
}
else
cells_h.push_back(cellsToRefine[i]);
refinementStrategy.pRefineCells(mesh, cells_p);
refinementStrategy.hRefineCells(mesh, cells_h);
}
}
return 0;
}
void Projector::projectFunctionOntoBasis(FieldContainer<double> &basisCoefficients, FunctionPtr fxn,
BasisPtr basis, BasisCachePtr basisCache) {
VarFactory varFactory;
VarPtr var;
if (! basisCache->isSideCache()) {
if (fxn->rank()==0) {
var = varFactory.fieldVar("dummyField");
} else if (fxn->rank()==1) {
var = varFactory.fieldVar("dummyField",VECTOR_L2);
} else {
TEUCHOS_TEST_FOR_EXCEPTION(true, std::invalid_argument, "projectFunctionOntoBasis does not yet support functions of rank > 1.");
}
} else {
// for present purposes, distinction between trace and flux doesn't really matter,
// except that parities come into the IP computation for fluxes (even though they'll cancel),
// and since basisCache doesn't necessarily have parities defined (especially in tests),
// it's simpler all around to use traces.
var = varFactory.traceVar("dummyTrace");
}
IPPtr ip = Teuchos::rcp( new IP );
ip->addTerm(var); // simple L^2 IP
projectFunctionOntoBasis(basisCoefficients, fxn, basis, basisCache, ip, var);
/*
// TODO: rewrite this to use the version above (define L2 inner product for a dummy variable, then pass in this ip and varPtr)
shards::CellTopology cellTopo = basis->domainTopology();
DofOrderingPtr dofOrderPtr = Teuchos::rcp(new DofOrdering());
// assume only L2 projections
IntrepidExtendedTypes::EOperatorExtended op = IntrepidExtendedTypes::OP_VALUE;
// have information, build inner product matrix
int numDofs = basis->getCardinality();
const FieldContainer<double> *cubPoints = &(basisCache->getPhysicalCubaturePoints());
constFCPtr basisValues = basisCache->getTransformedValues(basis, op);
constFCPtr testBasisValues = basisCache->getTransformedWeightedValues(basis, op);
int numCells = cubPoints->dimension(0);
int numPts = cubPoints->dimension(1);
FieldContainer<double> functionValues(numCells,numPts);
fxn->values(functionValues, basisCache);
FieldContainer<double> gramMatrix(numCells,numDofs,numDofs);
FieldContainer<double> ipVector(numCells,numDofs);
FunctionSpaceTools::integrate<double>(gramMatrix,*basisValues,*testBasisValues,COMP_BLAS);
FunctionSpaceTools::integrate<double>(ipVector,functionValues,*testBasisValues,COMP_BLAS);
basisCoefficients.resize(numCells,numDofs);
for (int cellIndex=0; cellIndex<numCells; cellIndex++){
Epetra_SerialDenseSolver solver;
Epetra_SerialDenseMatrix A(Copy,
&gramMatrix(cellIndex,0,0),
gramMatrix.dimension(2),
gramMatrix.dimension(2),
gramMatrix.dimension(1)); // stride -- fc stores in row-major order (a.o.t. SDM)
Epetra_SerialDenseVector b(Copy,
&ipVector(cellIndex,0),
ipVector.dimension(1));
Epetra_SerialDenseVector x(gramMatrix.dimension(1));
if (cellIndex==0) {
cout << "legacy projectFunctionOntoBasis: matrix A for cellIndex 0 = " << endl;
for (int i=0;i<gramMatrix.dimension(2);i++){
for (int j=0;j<gramMatrix.dimension(1);j++){
cout << A(i,j) << " ";
}
cout << endl;
}
cout << endl;
cout << "legacy projectFunctionOntoBasis: vector B for cellIndex 0 = " << endl;
for (int i=0;i<ipVector.dimension(1);i++){
cout << b(i) << endl;
}
}
solver.SetMatrix(A);
int info = solver.SetVectors(x,b);
if (info!=0){
cout << "projectFunctionOntoBasis: failed to SetVectors with error " << info << endl;
}
bool equilibrated = false;
if (solver.ShouldEquilibrate()){
solver.EquilibrateMatrix();
solver.EquilibrateRHS();
equilibrated = true;
}
info = solver.Solve();
if (info!=0){
cout << "projectFunctionOntoBasis: failed to solve with error " << info << endl;
}
if (equilibrated) {
int successLocal = solver.UnequilibrateLHS();
if (successLocal != 0) {
cout << "projection: unequilibration FAILED with error: " << successLocal << endl;
}
}
for (int i=0;i<numDofs;i++){
basisCoefficients(cellIndex,i) = x(i);
}
}*/
}
int main(int argc, char *argv[]) {
#ifdef HAVE_MPI
Teuchos::GlobalMPISession mpiSession(&argc, &argv,0);
choice::MpiArgs args( argc, argv );
#else
choice::Args args( argc, argv );
#endif
int commRank = Teuchos::GlobalMPISession::getRank();
int numProcs = Teuchos::GlobalMPISession::getNProc();
// Required arguments
double epsilon = args.Input<double>("--epsilon", "diffusion parameter");
int numRefs = args.Input<int>("--numRefs", "number of refinement steps");
bool enforceLocalConservation = args.Input<bool>("--conserve", "enforce local conservation");
int norm = args.Input<int>("--norm", "0 = graph\n 1 = robust\n 2 = modified robust");
// Optional arguments (have defaults)
bool zeroL2 = args.Input("--zeroL2", "take L2 term on v in robust norm to zero", true);
args.Process();
//////////////////// DECLARE VARIABLES ///////////////////////
// define test variables
VarFactory varFactory;
VarPtr tau = varFactory.testVar("tau", HDIV);
VarPtr v = varFactory.testVar("v", HGRAD);
// define trial variables
VarPtr uhat = varFactory.traceVar("uhat");
VarPtr fhat = varFactory.fluxVar("fhat");
VarPtr u = varFactory.fieldVar("u");
VarPtr sigma = varFactory.fieldVar("sigma", VECTOR_L2);
//////////////////// BUILD MESH ///////////////////////
BFPtr bf = Teuchos::rcp( new BF(varFactory) );
int H1Order = 3, pToAdd = 2;
// define nodes for mesh
FieldContainer<double> meshBoundary(4,2);
meshBoundary(0,0) = 0.0; // x1
meshBoundary(0,1) = 0.0; // y1
meshBoundary(1,0) = 1.0;
meshBoundary(1,1) = 0.0;
meshBoundary(2,0) = 1.0;
meshBoundary(2,1) = 1.0;
meshBoundary(3,0) = 0.0;
meshBoundary(3,1) = 1.0;
int horizontalCells = 4, verticalCells = 4;
// create a pointer to a new mesh:
Teuchos::RCP<Mesh> mesh = Mesh::buildQuadMesh(meshBoundary, horizontalCells, verticalCells,
bf, H1Order, H1Order+pToAdd, false);
vector<double> beta;
beta.push_back(2.0);
beta.push_back(1.0);
//////////////////// DEFINE BILINEAR FORM ///////////////////////
// tau terms:
bf->addTerm(sigma / epsilon, tau);
bf->addTerm(u, tau->div());
bf->addTerm(-uhat, tau->dot_normal());
// v terms:
bf->addTerm( sigma, v->grad() );
bf->addTerm( beta * u, - v->grad() );
bf->addTerm( fhat, v);
//////////////////// DEFINE INNER PRODUCT(S) ///////////////////////
IPPtr ip = Teuchos::rcp(new IP);
if (norm == 0)
{
ip = bf->graphNorm();
FunctionPtr h2_scaling = Teuchos::rcp( new ZeroMeanScaling );
ip->addZeroMeanTerm( h2_scaling*v );
}
// Robust norm
else if (norm == 1)
{
// robust test norm
FunctionPtr ip_scaling = Teuchos::rcp( new EpsilonScaling(epsilon) );
FunctionPtr h2_scaling = Teuchos::rcp( new ZeroMeanScaling );
if (!zeroL2)
ip->addTerm( v );
ip->addTerm( sqrt(epsilon) * v->grad() );
// Weight these two terms for inflow
ip->addTerm( beta * v->grad() );
ip->addTerm( tau->div() );
ip->addTerm( ip_scaling/sqrt(epsilon) * tau );
if (zeroL2)
ip->addZeroMeanTerm( h2_scaling*v );
}
// Modified robust norm
else if (norm == 2)
{
// robust test norm
FunctionPtr ip_scaling = Teuchos::rcp( new EpsilonScaling(epsilon) );
FunctionPtr h2_scaling = Teuchos::rcp( new ZeroMeanScaling );
// FunctionPtr ip_weight = Teuchos::rcp( new IPWeight() );
if (!zeroL2)
ip->addTerm( v );
ip->addTerm( sqrt(epsilon) * v->grad() );
ip->addTerm( beta * v->grad() );
ip->addTerm( tau->div() - beta*v->grad() );
ip->addTerm( ip_scaling/sqrt(epsilon) * tau );
if (zeroL2)
ip->addZeroMeanTerm( h2_scaling*v );
}
//////////////////// SPECIFY RHS ///////////////////////
Teuchos::RCP<RHSEasy> rhs = Teuchos::rcp( new RHSEasy );
FunctionPtr f = Teuchos::rcp( new ConstantScalarFunction(0.0) );
rhs->addTerm( f * v ); // obviously, with f = 0 adding this term is not necessary!
//////////////////// CREATE BCs ///////////////////////
Teuchos::RCP<BCEasy> bc = Teuchos::rcp( new BCEasy );
SpatialFilterPtr inflowBoundary = Teuchos::rcp( new InflowBoundary );
SpatialFilterPtr outflowBoundary = Teuchos::rcp( new OutflowBoundary );
FunctionPtr u0 = Teuchos::rcp( new U0 );
bc->addDirichlet(uhat, outflowBoundary, u0);
FunctionPtr n = Teuchos::rcp( new UnitNormalFunction );
bc->addDirichlet(fhat, inflowBoundary, beta*n*u0);
// Teuchos::RCP<PenaltyConstraints> pc = Teuchos::rcp(new PenaltyConstraints);
// pc->addConstraint(uhat==u0,inflowBoundary);
//////////////////// SOLVE & REFINE ///////////////////////
Teuchos::RCP<Solution> solution = Teuchos::rcp( new Solution(mesh, bc, rhs, ip) );
// solution->setFilter(pc);
if (enforceLocalConservation) {
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
solution->lagrangeConstraints()->addConstraint(fhat == zero);
}
double energyThreshold = 0.2; // for mesh refinements
RefinementStrategy refinementStrategy( solution, energyThreshold );
VTKExporter exporter(solution, mesh, varFactory);
ofstream errOut;
if (commRank == 0)
errOut.open("confusion_err.txt");
for (int refIndex=0; refIndex<=numRefs; refIndex++){
solution->solve(false);
double energy_error = solution->energyErrorTotal();
if (commRank==0){
stringstream outfile;
outfile << "confusion_" << refIndex;
exporter.exportSolution(outfile.str());
// solution->writeToVTK(outfile.str());
// Check local conservation
FunctionPtr flux = Function::solution(fhat, solution);
FunctionPtr zero = Teuchos::rcp( new ConstantScalarFunction(0.0) );
Teuchos::Tuple<double, 3> fluxImbalances = checkConservation(flux, zero, varFactory, mesh);
cout << "Mass flux: Largest Local = " << fluxImbalances[0]
<< ", Global = " << fluxImbalances[1] << ", Sum Abs = " << fluxImbalances[2] << endl;
errOut << mesh->numGlobalDofs() << " " << energy_error << " "
<< fluxImbalances[0] << " " << fluxImbalances[1] << " " << fluxImbalances[2] << endl;
}
if (refIndex < numRefs)
refinementStrategy.refine(commRank==0); // print to console on commRank 0
}
if (commRank == 0)
errOut.close();
return 0;
}
