RankFourTensor
TensorMechanicsPlasticTensileMulti::consistentTangentOperator(const RankTwoTensor & trial_stress, const RankTwoTensor & stress, const Real & intnl,
const RankFourTensor & E_ijkl, const std::vector<Real> & cumulative_pm) const
{
if (!_use_custom_cto)
return TensorMechanicsPlasticModel::consistentTangentOperator(trial_stress, stress, intnl, E_ijkl, cumulative_pm);
mooseAssert(cumulative_pm.size() == 3, "TensorMechanicsPlasticTensileMulti size of cumulative_pm should be 3 but it is " << cumulative_pm.size());
if (cumulative_pm[2] <= 0) // All cumulative_pm are non-positive, so this is admissible
return E_ijkl;
// Need the eigenvalues at the returned configuration
std::vector<Real> eigvals;
stress.symmetricEigenvalues(eigvals);
// need to rotate to and from principal stress space
// using the eigenvectors of the trial configuration
// (not the returned configuration).
std::vector<Real> trial_eigvals;
RankTwoTensor trial_eigvecs;
trial_stress.symmetricEigenvaluesEigenvectors(trial_eigvals, trial_eigvecs);
// The returnMap will have returned to the Tip, Edge or
// Plane. The consistentTangentOperator describes the
// change in stress for an arbitrary change in applied
// strain. I assume that the change in strain will not
// change the type of return (Tip remains Tip, Edge remains
// Edge, Plane remains Plane).
// I assume isotropic elasticity.
//
// The consistent tangent operator is a little different
// than cases where no rotation to principal stress space
// is made during the returnMap. Let S_ij be the stress
// in original coordinates, and s_ij be the stress in the
// principal stress coordinates, so that
// s_ij = diag(eigvals[0], eigvals[1], eigvals[2])
// We want dS_ij under an arbitrary change in strain (ep->ep+dep)
// dS = S(ep+dep) - S(ep)
// = R(ep+dep) s(ep+dep) R(ep+dep)^T - R(ep) s(ep) R(ep)^T
// Here R = the rotation to principal-stress space, ie
// R_ij = eigvecs[i][j] = i^th component of j^th eigenvector
// Expanding to first order in dep,
// dS = R(ep) (s(ep+dep) - s(ep)) R(ep)^T
// + dR/dep s(ep) R^T + R(ep) s(ep) dR^T/dep
// The first line is all that is usually calculated in the
// consistent tangent operator calculation, and is called
// cto below.
// The second line involves changes in the eigenvectors, and
// is called sec below.
RankFourTensor cto;
Real hard = dtensile_strength(intnl);
Real la = E_ijkl(0,0,1,1);
Real mu = 0.5*(E_ijkl(0,0,0,0) - la);
if (cumulative_pm[1] <= 0)
{
// only cumulative_pm[2] is positive, so this is return to the Plane
Real denom = hard + la + 2*mu;
Real al = la*la/denom;
Real be = la*(la + 2*mu)/denom;
Real ga = hard*(la + 2*mu)/denom;
std::vector<Real> comps(9);
comps[0] = comps[4] = la + 2*mu - al;
comps[1] = comps[3] = la - al;
comps[2] = comps[5] = comps[6] = comps[7] = la - be;
comps[8] = ga;
cto.fillFromInputVector(comps, RankFourTensor::principal);
}
else if (cumulative_pm[0] <= 0)
{
// both cumulative_pm[2] and cumulative_pm[1] are positive, so Edge
Real denom = 2*hard + 2*la + 2*mu;
Real al = hard*2*la/denom;
Real be = hard*(2*la + 2*mu)/denom;
std::vector<Real> comps(9);
comps[0] = la + 2*mu - 2*la*la/denom;
comps[1] = comps[2] = al;
comps[3] = comps[6] = al;
comps[4] = comps[5] = comps[7] = comps[8] = be;
cto.fillFromInputVector(comps, RankFourTensor::principal);
}
else
{
// all cumulative_pm are positive, so Tip
Real denom = 3*hard + 3*la + 2*mu;
std::vector<Real> comps(2);
comps[0] = hard*(3*la + 2*mu)/denom;
comps[1] = 0;
cto.fillFromInputVector(comps, RankFourTensor::symmetric_isotropic);
}
cto.rotate(trial_eigvecs);
// drdsig = change in eigenvectors under a small stress change
// drdsig(i,j,m,n) = dR(i,j)/dS_mn
// The formula below is fairly easily derived:
// S R = R s, so taking the variation
// dS R + S dR = dR s + R ds, and multiplying by R^T
// R^T dS R + R^T S dR = R^T dR s + ds .... (eqn 1)
// I demand that RR^T = 1 = R^T R, and also that
// (R+dR)(R+dR)^T = 1 = (R+dT)^T (R+dR), which means
// that dR = R*c, for some antisymmetric c, so Eqn1 reads
// R^T dS R + s c = c s + ds
// Grabbing the components of this gives ds/dS (already
// in RankTwoTensor), and c, which is:
// dR_ik/dS_mn = drdsig(i, k, m, n) = trial_eigvecs(m, b)*trial_eigvecs(n, k)*trial_eigvecs(i, b)/(trial_eigvals[k] - trial_eigvals[b]);
// (sum over b!=k).
RankFourTensor drdsig;
for (unsigned k = 0 ; k < 3 ; ++k)
for (unsigned b = 0 ; b < 3 ; ++b)
{
if (b == k)
continue;
for (unsigned m = 0 ; m < 3 ; ++m)
for (unsigned n = 0 ; n < 3 ; ++n)
for (unsigned i = 0 ; i < 3 ; ++i)
drdsig(i, k, m, n) += trial_eigvecs(m, b)*trial_eigvecs(n, k)*trial_eigvecs(i, b)/(trial_eigvals[k] - trial_eigvals[b]);
}
// With diagla = diag(eigvals[0], eigvals[1], digvals[2])
// The following implements
// ans(i, j, a, b) += (drdsig(i, k, m, n)*trial_eigvecs(j, l)*diagla(k, l) + trial_eigvecs(i, k)*drdsig(j, l, m, n)*diagla(k, l))*E_ijkl(m, n, a, b);
// (sum over k, l, m and n)
RankFourTensor ans;
for (unsigned i = 0 ; i < 3 ; ++i)
for (unsigned j = 0 ; j < 3 ; ++j)
for (unsigned a = 0 ; a < 3 ; ++a)
for (unsigned k = 0 ; k < 3 ; ++k)
for (unsigned m = 0 ; m < 3 ; ++m)
ans(i, j, a, a) += (drdsig(i, k, m, m)*trial_eigvecs(j, k) + trial_eigvecs(i, k)*drdsig(j, k, m, m))*eigvals[k]*la; //E_ijkl(m, n, a, b) = la*(m==n)*(a==b);
for (unsigned i = 0 ; i < 3 ; ++i)
for (unsigned j = 0 ; j < 3 ; ++j)
for (unsigned a = 0 ; a < 3 ; ++a)
for (unsigned b = 0 ; b < 3 ; ++b)
for (unsigned k = 0 ; k < 3 ; ++k)
{
ans(i, j, a, b) += (drdsig(i, k, a, b)*trial_eigvecs(j, k) + trial_eigvecs(i, k)*drdsig(j, k, a, b))*eigvals[k]*mu; //E_ijkl(m, n, a, b) = mu*(m==a)*(n==b)
ans(i, j, a, b) += (drdsig(i, k, b, a)*trial_eigvecs(j, k) + trial_eigvecs(i, k)*drdsig(j, k, b, a))*eigvals[k]*mu; //E_ijkl(m, n, a, b) = mu*(m==b)*(n==a)
}
return cto + ans;
}
bool
TensorMechanicsPlasticTensileMulti::doReturnMap(const RankTwoTensor & trial_stress, const Real & intnl_old, const RankFourTensor & E_ijkl,
Real /*ep_plastic_tolerance*/, RankTwoTensor & returned_stress, Real & returned_intnl,
std::vector<Real> & dpm, RankTwoTensor & delta_dp, std::vector<Real> & yf,
bool & trial_stress_inadmissible) const
{
mooseAssert(dpm.size() == 3, "TensorMechanicsPlasticTensileMulti size of dpm should be 3 but it is " << dpm.size());
std::vector<Real> eigvals;
RankTwoTensor eigvecs;
trial_stress.symmetricEigenvaluesEigenvectors(eigvals, eigvecs);
eigvals[0] += _shift;
eigvals[2] -= _shift;
Real str = tensile_strength(intnl_old);
yf.resize(3);
yf[0] = eigvals[0] - str;
yf[1] = eigvals[1] - str;
yf[2] = eigvals[2] - str;
if (yf[0] <= _f_tol && yf[1] <= _f_tol && yf[2] <= _f_tol)
{
// purely elastic (trial_stress, intnl_old)
trial_stress_inadmissible = false;
return true;
}
trial_stress_inadmissible = true;
delta_dp.zero();
returned_stress.zero();
// In the following i often assume that E_ijkl is
// for an isotropic situation. This reduces FLOPS
// substantially which is important since the returnMap
// is potentially the most compute-intensive function
// of a simulation.
// In many comments i write the general expression, and
// i hope that might guide future coders if they are
// generalising to a non-istropic E_ijkl
// n[alpha] = E_ijkl*r[alpha]_kl expressed in principal stress space
// (alpha = 0, 1, 2, corresponding to the three surfaces)
// Note that in principal stress space, the flow
// directions are, expressed in 'vector' form,
// r[0] = (1,0,0), r[1] = (0,1,0), r[2] = (0,0,1).
// Similar for _n:
// so _n[0] = E_ij00*r[0], _n[1] = E_ij11*r[1], _n[2] = E_ij22*r[2]
// In the following I assume that the E_ijkl is
// for an isotropic situation.
// In the anisotropic situation, we couldn't express
// the flow directions as vectors in the same principal
// stress space as the stress: they'd be full rank-2 tensors
std::vector<std::vector<Real> > n(3);
for (unsigned i = 0 ; i < 3 ; ++i)
n[i].resize(3);
n[0][0] = E_ijkl(0,0,0,0);
n[0][1] = E_ijkl(1,1,0,0);
n[0][2] = E_ijkl(2,2,0,0);
n[1][0] = E_ijkl(0,0,1,1);
n[1][1] = E_ijkl(1,1,1,1);
n[1][2] = E_ijkl(2,2,1,1);
n[2][0] = E_ijkl(0,0,2,2);
n[2][1] = E_ijkl(1,1,2,2);
n[2][2] = E_ijkl(2,2,2,2);
// With non-zero Poisson's ratio and hardening
// it is not computationally cheap to know whether
// the trial stress will return to the tip, edge,
// or plane. The following is correct for zero
// Poisson's ratio and no hardening, and at least
// gives a not-completely-stupid guess in the
// more general case.
// trial_order[0] = type of return to try first
// trial_order[1] = type of return to try second
// trial_order[2] = type of return to try third
std::vector<int> trial_order(3);
if (yf[0] > 0) // all the yield functions are positive, since eigvals are ordered eigvals[0] <= eigvals[1] <= eigvals[2]
{
trial_order[0] = tip;
trial_order[1] = edge;
trial_order[2] = plane;
}
else if (yf[1] > 0) // two yield functions are positive
{
trial_order[0] = edge;
trial_order[1] = tip;
trial_order[2] = plane;
}
else
{
trial_order[0] = plane;
trial_order[1] = edge;
trial_order[2] = tip;
}
unsigned trial;
bool nr_converged;
for (trial = 0 ; trial < 3 ; ++trial)
{
switch (trial_order[trial])
{
case tip:
nr_converged = returnTip(eigvals, n, dpm, returned_stress, intnl_old, 0);
break;
case edge:
nr_converged = returnEdge(eigvals, n, dpm, returned_stress, intnl_old, 0);
break;
case plane:
nr_converged = returnPlane(eigvals, n, dpm, returned_stress, intnl_old, 0);
break;
}
str = tensile_strength(intnl_old + dpm[0] + dpm[1] + dpm[2]);
if (nr_converged && KuhnTuckerOK(returned_stress, dpm, str))
break;
}
if (trial == 3)
{
Moose::err << "Trial stress = \n";
trial_stress.print(Moose::err);
Moose::err << "Internal parameter = " << intnl_old << "\n";
mooseError("TensorMechanicsPlasticTensileMulti: FAILURE! You probably need to implement a line search\n");
// failure - must place yield function values at trial stress into yf
str = tensile_strength(intnl_old);
yf[0] = eigvals[0] - str;
yf[1] = eigvals[1] - str;
yf[2] = eigvals[2] - str;
return false;
}
// success
returned_intnl = intnl_old;
for (unsigned i = 0 ; i < 3 ; ++i)
{
yf[i] = returned_stress(i, i) - str;
delta_dp(i, i) = dpm[i];
returned_intnl += dpm[i];
}
returned_stress = eigvecs*returned_stress*(eigvecs.transpose());
delta_dp = eigvecs*delta_dp*(eigvecs.transpose());
return true;
}
void
TensorMechanicsPlasticTensileMulti::activeConstraints(const std::vector<Real> & f, const RankTwoTensor & stress, const Real & intnl, const RankFourTensor & Eijkl, std::vector<bool> & act, RankTwoTensor & returned_stress) const
{
act.assign(3, false);
if (f[0] <= _f_tol && f[1] <= _f_tol && f[2] <= _f_tol)
{
returned_stress = stress;
return;
}
returned_stress = RankTwoTensor();
std::vector<Real> eigvals;
RankTwoTensor eigvecs;
stress.symmetricEigenvaluesEigenvectors(eigvals, eigvecs);
eigvals[0] += _shift;
eigvals[2] -= _shift;
Real str = tensile_strength(intnl);
std::vector<Real> v(3);
v[0] = eigvals[0] - str;
v[1] = eigvals[1] - str;
v[2] = eigvals[2] - str;
// these are the normals to the 3 yield surfaces
std::vector<std::vector<Real> > n(3);
n[0].resize(3);
n[0][0] = 1 ; n[0][1] = 0 ; n[0][2] = 0;
n[1].resize(3);
n[1][0] = 0 ; n[1][1] = 1 ; n[1][2] = 0;
n[2].resize(3);
n[2][0] = 0 ; n[2][1] = 0 ; n[2][2] = 1;
// the flow directions are these n multiplied by Eijkl.
// I re-use the name "n" for the flow directions
// In the following I assume that the Eijkl is
// for an isotropic situation. This is the most
// common when using TensileMulti, and remember
// that the returned_stress need not be perfect
// anyway.
// I divide by E(0,0,0,0) so the n remain of order 1
Real ratio = Eijkl(1,1,0,0)/Eijkl(0,0,0,0);
n[0][1] = n[0][2] = ratio;
n[1][0] = n[1][2] = ratio;
n[2][0] = n[2][1] = ratio;
// 111 (tip)
// For tip-return to satisfy Kuhn-Tucker, we need
// v = alpha*n[0] + beta*n[1] * gamma*n[2]
// with alpha, beta, and gamma all being non-negative (they are
// the plasticity multipliers)
Real denom = triple(n[0], n[1], n[2]);
if (triple(v, n[0], n[1])/denom >= 0 && triple(v, n[1], n[2])/denom >= 0 && triple(v, n[2], n[0])/denom >= 0)
{
act[0] = act[1] = act[2] = true;
returned_stress(0, 0) = returned_stress(1, 1) = returned_stress(2, 2) = str;
returned_stress = eigvecs*returned_stress*(eigvecs.transpose());
return;
}
// 011 (edge)
std::vector<Real> n1xn2(3);
n1xn2[0] = n[1][1]*n[2][2] - n[1][2]*n[2][1];
n1xn2[1] = n[1][2]*n[2][0] - n[1][0]*n[2][2];
n1xn2[2] = n[1][0]*n[2][1] - n[1][1]*n[2][0];
// work out the point to which we would return, "a". It is defined by
// f1 = 0 = f2, and that (p - a).(n1 x n2) = 0, where "p" is the
// starting position (p = eigvals).
// In the following a = (a0, str, str)
Real pdotn1xn2 = dot(eigvals, n1xn2);
Real a0 = (-str*n1xn2[1] - str*n1xn2[2] + pdotn1xn2)/n1xn2[0];
// we need p - a = alpha*n1 + beta*n2, where alpha and beta are non-negative
// for Kuhn-Tucker to be satisfied
std::vector<Real> pminusa(3);
pminusa[0] = eigvals[0] - a0;
pminusa[1] = v[1];
pminusa[2] = v[2];
if ((pminusa[2] - pminusa[0])/(1.0 - ratio) >= 0 && (pminusa[1] - pminusa[0])/(1.0 - ratio) >= 0)
{
returned_stress(0, 0) = a0;
returned_stress(1, 1) = str;
returned_stress(2, 2) = str;
returned_stress = eigvecs*returned_stress*(eigvecs.transpose());
act[1] = act[2] = true;
return;
}
// 001 (plane)
// the returned point, "a", is defined by f2=0 and
// a = p - alpha*n2
Real alpha = (eigvals[2] - str)/n[2][2];
act[2] = true;
returned_stress(0, 0) = eigvals[0] - alpha*n[2][0];
returned_stress(1, 1) = eigvals[1] - alpha*n[2][1];
returned_stress(2, 2) = str;
returned_stress = eigvecs*returned_stress*(eigvecs.transpose());
return;
}
bool
TensorMechanicsPlasticMohrCoulombMulti::doReturnMap(const RankTwoTensor & trial_stress, Real intnl_old, const RankFourTensor & E_ijkl,
Real ep_plastic_tolerance, RankTwoTensor & returned_stress, Real & returned_intnl,
std::vector<Real> & dpm, RankTwoTensor & delta_dp, std::vector<Real> & yf,
bool & trial_stress_inadmissible) const
{
mooseAssert(dpm.size() == 6, "TensorMechanicsPlasticMohrCoulombMulti size of dpm should be 6 but it is " << dpm.size());
std::vector<Real> eigvals;
RankTwoTensor eigvecs;
trial_stress.symmetricEigenvaluesEigenvectors(eigvals, eigvecs);
eigvals[0] += _shift;
eigvals[2] -= _shift;
Real sinphi = std::sin(phi(intnl_old));
Real cosphi = std::cos(phi(intnl_old));
Real coh = cohesion(intnl_old);
Real cohcos = coh*cosphi;
yieldFunctionEigvals(eigvals[0], eigvals[1], eigvals[2], sinphi, cohcos, yf);
if (yf[0] <= _f_tol && yf[1] <= _f_tol && yf[2] <= _f_tol && yf[3] <= _f_tol && yf[4] <= _f_tol && yf[5] <= _f_tol)
{
// purely elastic (trial_stress, intnl_old)
trial_stress_inadmissible = false;
return true;
}
trial_stress_inadmissible = true;
delta_dp.zero();
returned_stress = RankTwoTensor();
// these are the normals to the 6 yield surfaces, which are const because of the assumption of no psi hardening
std::vector<RealVectorValue> norm(6);
const Real sinpsi = std::sin(psi(intnl_old));
const Real oneminus = 0.5*(1 - sinpsi);
const Real oneplus = 0.5*(1 + sinpsi);
norm[0](0) = oneplus; norm[0](1) = -oneminus; norm[0](2) = 0;
norm[1](0) = -oneminus; norm[1](1) = oneplus; norm[1](2) = 0;
norm[2](0) = oneplus; norm[2](1) = 0; norm[2](2) = -oneminus;
norm[3](0) = -oneminus; norm[3](1) = 0; norm[3](2) = oneplus;
norm[4](0) = 0; norm[4](1) = oneplus; norm[4](2) = -oneminus;
norm[5](0) = 0; norm[5](1) = -oneminus; norm[5](2) = oneplus;
// the flow directions are these norm multiplied by Eijkl.
// I call the flow directions "n".
// In the following I assume that the Eijkl is
// for an isotropic situation. Then I don't have to
// rotate to the principal-stress frame, and i don't
// have to worry about strange off-diagonal things
std::vector<RealVectorValue> n(6);
for (unsigned ys = 0; ys < 6; ++ys)
for (unsigned i = 0; i < 3; ++i)
for (unsigned j = 0; j < 3; ++j)
n[ys](i) += E_ijkl(i,i,j,j)*norm[ys](j);
const Real mag_E = E_ijkl(0, 0, 0, 0);
// With non-zero Poisson's ratio and hardening
// it is not computationally cheap to know whether
// the trial stress will return to the tip, edge,
// or plane. The following at least
// gives a not-completely-stupid guess
// trial_order[0] = type of return to try first
// trial_order[1] = type of return to try second
// trial_order[2] = type of return to try third
// trial_order[3] = type of return to try fourth
// trial_order[4] = type of return to try fifth
// In the following the "binary" stuff indicates the
// deactive (0) and active (1) surfaces, eg
// 110100 means that surfaces 0, 1 and 3 are active
// and 2, 4 and 5 are deactive
const unsigned int number_of_return_paths = 5;
std::vector<int> trial_order(number_of_return_paths);
if (yf[1] > _f_tol && yf[3] > _f_tol && yf[5] > _f_tol)
{
trial_order[0] = tip110100;
trial_order[1] = edge010100;
trial_order[2] = plane000100;
trial_order[3] = edge000101;
trial_order[4] = tip010101;
}
else if (yf[1] <= _f_tol && yf[3] > _f_tol && yf[5] > _f_tol)
{
trial_order[0] = edge000101;
trial_order[1] = plane000100;
trial_order[2] = tip110100;
trial_order[3] = tip010101;
trial_order[4] = edge010100;
}
else if (yf[1] <= _f_tol && yf[3] > _f_tol && yf[5] <= _f_tol)
{
trial_order[0] = plane000100;
trial_order[1] = edge000101;
trial_order[2] = edge010100;
trial_order[3] = tip110100;
trial_order[4] = tip010101;
}
else
{
trial_order[0] = edge010100;
trial_order[1] = plane000100;
trial_order[2] = edge000101;
trial_order[3] = tip110100;
trial_order[4] = tip010101;
}
unsigned trial;
bool nr_converged = false;
bool kt_success = false;
std::vector<RealVectorValue> ntip(3);
std::vector<Real> dpmtip(3);
for (trial = 0; trial < number_of_return_paths; ++trial)
{
switch (trial_order[trial])
{
case tip110100:
for (unsigned int i = 0; i < 3; ++i)
{
ntip[0](i) = n[0](i);
ntip[1](i) = n[1](i);
ntip[2](i) = n[3](i);
}
kt_success = returnTip(eigvals, ntip, dpmtip, returned_stress, intnl_old, sinphi, cohcos, 0, nr_converged, ep_plastic_tolerance, yf);
if (nr_converged && kt_success)
{
dpm[0] = dpmtip[0];
dpm[1] = dpmtip[1];
dpm[3] = dpmtip[2];
dpm[2] = dpm[4] = dpm[5] = 0;
}
break;
case tip010101:
for (unsigned int i = 0; i < 3; ++i)
{
ntip[0](i) = n[1](i);
ntip[1](i) = n[3](i);
ntip[2](i) = n[5](i);
}
kt_success = returnTip(eigvals, ntip, dpmtip, returned_stress, intnl_old, sinphi, cohcos, 0, nr_converged, ep_plastic_tolerance, yf);
if (nr_converged && kt_success)
{
dpm[1] = dpmtip[0];
dpm[3] = dpmtip[1];
dpm[5] = dpmtip[2];
dpm[0] = dpm[2] = dpm[4] = 0;
}
break;
case edge000101:
kt_success = returnEdge000101(eigvals, n, dpm, returned_stress, intnl_old, sinphi, cohcos, 0, mag_E, nr_converged, ep_plastic_tolerance, yf);
break;
case edge010100:
kt_success = returnEdge010100(eigvals, n, dpm, returned_stress, intnl_old, sinphi, cohcos, 0, mag_E, nr_converged, ep_plastic_tolerance, yf);
break;
case plane000100:
kt_success = returnPlane(eigvals, n, dpm, returned_stress, intnl_old, sinphi, cohcos, 0, nr_converged, ep_plastic_tolerance, yf);
break;
}
if (nr_converged && kt_success)
break;
}
if (trial == number_of_return_paths)
{
sinphi = std::sin(phi(intnl_old));
cosphi = std::cos(phi(intnl_old));
coh = cohesion(intnl_old);
cohcos = coh*cosphi;
yieldFunctionEigvals(eigvals[0], eigvals[1], eigvals[2], sinphi, cohcos, yf);
Moose::err << "Trial stress = \n";
trial_stress.print(Moose::err);
Moose::err << "which has eigenvalues = " << eigvals[0] << " " << eigvals[1] << " " << eigvals[2] << "\n";
Moose::err << "and yield functions = " << yf[0] << " " << yf[1] << " " << yf[2] << " " << yf[3] << " " << yf[4] << " " << yf[5] << "\n";
Moose::err << "Internal parameter = " << intnl_old << "\n";
mooseError("TensorMechanicsPlasticMohrCoulombMulti: FAILURE! You probably need to implement a line search if your hardening is too severe, or you need to tune your tolerances (eg, yield_function_tolerance should be a little smaller than (young modulus)*ep_plastic_tolerance).\n");
return false;
}
// success
returned_intnl = intnl_old;
for (unsigned i = 0; i < 6; ++i)
returned_intnl += dpm[i];
for (unsigned i = 0; i < 6; ++i)
for (unsigned j = 0; j < 3; ++j)
delta_dp(j, j) += dpm[i]*norm[i](j);
returned_stress = eigvecs*returned_stress*(eigvecs.transpose());
delta_dp = eigvecs*delta_dp*(eigvecs.transpose());
return true;
}
void
ComputeFiniteStrain::computeQpIncrements(RankTwoTensor & total_strain_increment, RankTwoTensor & rotation_increment)
{
switch (_decomposition_method)
{
case DecompMethod::TaylorExpansion:
{
// inverse of _Fhat
RankTwoTensor invFhat(_Fhat[_qp].inverse());
// A = I - _Fhat^-1
RankTwoTensor A(RankTwoTensor::initIdentity);
A -= invFhat;
// Cinv - I = A A^T - A - A^T;
RankTwoTensor Cinv_I = A * A.transpose() - A - A.transpose();
// strain rate D from Taylor expansion, Chat = (-1/2(Chat^-1 - I) + 1/4*(Chat^-1 - I)^2 + ...
total_strain_increment = -Cinv_I * 0.5 + Cinv_I * Cinv_I * 0.25;
const Real a[3] = {
invFhat(1, 2) - invFhat(2, 1),
invFhat(2, 0) - invFhat(0, 2),
invFhat(0, 1) - invFhat(1, 0)
};
Real q = (a[0] * a[0] + a[1] * a[1] + a[2] * a[2]) / 4.0;
Real trFhatinv_1 = invFhat.trace() - 1.0;
const Real p = trFhatinv_1 * trFhatinv_1 / 4.0;
// cos theta_a
const Real C1 = std::sqrt(p + 3.0 * std::pow(p, 2.0) * (1.0 - (p + q)) / std::pow(p + q, 2.0) - 2.0 * std::pow(p, 3.0) * (1.0 - (p + q)) / std::pow(p + q, 3.0));
Real C2;
if (q > 0.01)
// (1-cos theta_a)/4q
C2 = (1.0 - C1) / (4.0 * q);
else
//alternate form for small q
C2 = 0.125 + q * 0.03125 * (std::pow(p, 2.0) - 12.0 * (p - 1.0)) / std::pow(p, 2.0)
+ std::pow(q, 2.0) * (p - 2.0) * (std::pow(p, 2.0) - 10.0 * p + 32.0) / std::pow(p, 3.0)
+ std::pow(q, 3.0) * (1104.0 - 992.0 * p + 376.0 * std::pow(p, 2.0) - 72.0 * std::pow(p, 3.0) + 5.0 * std::pow(p, 4.0)) / (512.0 * std::pow(p, 4.0));
const Real C3 = 0.5 * std::sqrt((p * q * (3.0 - q) + std::pow(p, 3.0) + std::pow(q, 2.0)) / std::pow(p + q, 3.0)); //sin theta_a/(2 sqrt(q))
// Calculate incremental rotation. Note that this value is the transpose of that from Rashid, 93, so we transpose it before storing
RankTwoTensor R_incr;
R_incr.addIa(C1);
for (unsigned int i = 0; i < 3; ++i)
for (unsigned int j = 0; j < 3; ++j)
R_incr(i,j) += C2 * a[i] * a[j];
R_incr(0,1) += C3 * a[2];
R_incr(0,2) -= C3 * a[1];
R_incr(1,0) -= C3 * a[2];
R_incr(1,2) += C3 * a[0];
R_incr(2,0) += C3 * a[1];
R_incr(2,1) -= C3 * a[0];
rotation_increment = R_incr.transpose();
break;
}
case DecompMethod::EigenSolution:
{
std::vector<Real> e_value(3);
RankTwoTensor e_vector, N1, N2, N3;
RankTwoTensor Chat = _Fhat[_qp].transpose() * _Fhat[_qp];
Chat.symmetricEigenvaluesEigenvectors(e_value, e_vector);
const Real lambda1 = std::sqrt(e_value[0]);
const Real lambda2 = std::sqrt(e_value[1]);
const Real lambda3 = std::sqrt(e_value[2]);
N1.vectorOuterProduct(e_vector.column(0), e_vector.column(0));
N2.vectorOuterProduct(e_vector.column(1), e_vector.column(1));
N3.vectorOuterProduct(e_vector.column(2), e_vector.column(2));
RankTwoTensor Uhat = N1 * lambda1 + N2 * lambda2 + N3 * lambda3;
RankTwoTensor invUhat(Uhat.inverse());
rotation_increment = _Fhat[_qp] * invUhat;
total_strain_increment = N1 * std::log(lambda1) + N2 * std::log(lambda2) + N3 * std::log(lambda3);
break;
}
default:
mooseError("ComputeFiniteStrain Error: Pass valid decomposition type: TaylorExpansion or EigenSolution.");
}
}
