Exemplo n.º 1
0
Arquivo: cmmenu.c Projeto: nasa/QuIP
static COMMAND_FUNC( do_const_alpha )
{
	int value;

	value=(int)HOW_MANY("value");
	CHECK_DPYP("do_const_alpha")
	const_alpha(value);
}
void Foam::kineticTheoryModel::solve(const volTensorField& gradUat)
{
 if(kineticTheory_)
 {
     //if (!kineticTheory_)
     //{
     //    return;
     //}

     //const scalar sqrtPi = sqrt(mathematicalConstant::pi);
     if(Berzi_)
     {
	     Info << "Berzi Model is used" << endl;
     }
     else{
     const scalar sqrtPi = sqrt(constant::mathematical::pi);

     surfaceScalarField phi = 1.5*rhoa_*phia_*fvc::interpolate(alpha_);

     volTensorField dU = gradUat.T();//fvc::grad(Ua_);
     volSymmTensorField D = symm(dU);

     // NB, drag = K*alpha*beta,
     // (the alpha and beta has been extracted from the drag function for
     // numerical reasons)
     volScalarField Ur = mag(Ua_ - Ub_);
     volScalarField betaPrim = alpha_*(1.0 - alpha_)*draga_.K(Ur);

     // Calculating the radial distribution function (solid volume fraction is
     //  limited close to the packing limit, but this needs improvements)
     //  The solution is higly unstable close to the packing limit.
     gs0_ = radialModel_->g0
     (
         min(max(alpha_, 1e-6), alphaMax_ - 0.01),
         alphaMax_
     );

     // particle pressure - coefficient in front of Theta (Eq. 3.22, p. 45)
     volScalarField PsCoeff = granularPressureModel_->granularPressureCoeff
     (
         alpha_,
         gs0_,
         rhoa_,
         e_
     );

     // 'thermal' conductivity (Table 3.3, p. 49)
     kappa_ = conductivityModel_->kappa(alpha_, Theta_, gs0_, rhoa_, da_, e_);

     // particle viscosity (Table 3.2, p.47)
     mua_ = viscosityModel_->mua(alpha_, Theta_, gs0_, rhoa_, da_, e_);

     dimensionedScalar Tsmall
     (
         "small",
         dimensionSet(0 , 2 ,-2 ,0 , 0, 0, 0),
         1.0e-6
     );

     dimensionedScalar TsmallSqrt = sqrt(Tsmall);
     volScalarField ThetaSqrt = sqrt(Theta_);

     // dissipation (Eq. 3.24, p.50)
     volScalarField gammaCoeff =
         12.0*(1.0 - sqr(e_))*sqr(alpha_)*rhoa_*gs0_*(1.0/da_)*ThetaSqrt/sqrtPi;

     // Eq. 3.25, p. 50 Js = J1 - J2
     volScalarField J1 = 3.0*betaPrim;
     volScalarField J2 =
         0.25*sqr(betaPrim)*da_*sqr(Ur)
	/(max(alpha_, 1e-6)*rhoa_*sqrtPi*(ThetaSqrt + TsmallSqrt));

     // bulk viscosity  p. 45 (Lun et al. 1984).
     lambda_ = (4.0/3.0)*sqr(alpha_)*rhoa_*da_*gs0_*(1.0+e_)*ThetaSqrt/sqrtPi;

     // stress tensor, Definitions, Table 3.1, p. 43
     volSymmTensorField tau = 2.0*mua_*D + (lambda_ - (2.0/3.0)*mua_)*tr(D)*I;

     if (!equilibrium_)
     {
         // construct the granular temperature equation (Eq. 3.20, p. 44)
         // NB. note that there are two typos in Eq. 3.20
         // no grad infront of Ps
         // wrong sign infront of laplacian
         fvScalarMatrix ThetaEqn
         (
             fvm::ddt(1.5*alpha_*rhoa_, Theta_)
           + fvm::div(phi, Theta_, "div(phi,Theta)")
          ==
             fvm::SuSp(-((PsCoeff*I) && dU), Theta_)
           + (tau && dU)
           + fvm::laplacian(kappa_, Theta_, "laplacian(kappa,Theta)")
           + fvm::Sp(-gammaCoeff, Theta_)
           + fvm::Sp(-J1, Theta_)
           + fvm::Sp(J2/(Theta_ + Tsmall), Theta_)
         );

         ThetaEqn.relax();
         ThetaEqn.solve();
     }
     else
     {
         // equilibrium => dissipation == production
         // Eq. 4.14, p.82
         volScalarField K1 = 2.0*(1.0 + e_)*rhoa_*gs0_;
         volScalarField K3 = 0.5*da_*rhoa_*
             (
                 (sqrtPi/(3.0*(3.0-e_)))
        	*(1.0 + 0.4*(1.0 + e_)*(3.0*e_ - 1.0)*alpha_*gs0_)
        	+1.6*alpha_*gs0_*(1.0 + e_)/sqrtPi
             );

         volScalarField K2 =
             4.0*da_*rhoa_*(1.0 + e_)*alpha_*gs0_/(3.0*sqrtPi) - 2.0*K3/3.0;

         volScalarField K4 = 12.0*(1.0 - sqr(e_))*rhoa_*gs0_/(da_*sqrtPi);

         volScalarField trD = tr(D);
         volScalarField tr2D = sqr(trD);
         volScalarField trD2 = tr(D & D);

         volScalarField t1 = K1*alpha_ + rhoa_;
         volScalarField l1 = -t1*trD;
         volScalarField l2 = sqr(t1)*tr2D;
         volScalarField l3 = 4.0*K4*max(alpha_, 1e-6)*(2.0*K3*trD2 + K2*tr2D);

         Theta_ = sqr((l1 + sqrt(l2 + l3))/(2.0*(alpha_ + 1.0e-4)*K4));
     }

     Theta_.max(1.0e-15);
     Theta_.min(1.0e+3);

     volScalarField pf = frictionalStressModel_->frictionalPressure
     (
         alpha_,
         alphaMinFriction_,
         alphaMax_,
         Fr_,
         eta_,
         p_
     );

     PsCoeff += pf/(Theta_+Tsmall);

     PsCoeff.min(1.0e+10);
     PsCoeff.max(-1.0e+10);

     // update particle pressure
     pa_ = PsCoeff*Theta_;

     // frictional shear stress, Eq. 3.30, p. 52
     volScalarField muf = frictionalStressModel_->muf
     (
         alpha_,
         alphaMax_,
         pf,
         D,
         phi_
     );

    // add frictional stress
     mua_ += muf;
     
//-AO Inconsistency of equations	
     const scalar constSMALL = 0.001; //1.e-06;
     mua_ /= (fvc::average(alpha_) + scalar(constSMALL));
     lambda_ /= (fvc::average(alpha_) + scalar(constSMALL)); 
//-AO	
     
     mua_.min(1.0e+2);
     mua_.max(0.0);

     Info<< "kinTheory: max(Theta) = " << max(Theta_).value() << endl;

     volScalarField ktn = mua_/rhoa_;

     Info<< "kinTheory: min(nua) = " << min(ktn).value()
         << ", max(nua) = " << max(ktn).value() << endl;

     Info<< "kinTheory: min(pa) = " << min(pa_).value()
         << ", max(pa) = " << max(pa_).value() << endl;
	 
 
 //}

 /*
 volScalarField& Foam::kineticTheoryModel::ppMagf(const volScalarField& alphaUpdate)
 {
     volScalarField alpha = alphaUpdate;

     gs0_ = radialModel_->g0(min(alpha, alphaMinFriction_), alphaMax_); 
     gs0Prime_ = radialModel_->g0prime(min(alpha, alphaMinFriction_), alphaMax_);

     // Computing ppMagf
     ppMagf_ = Theta_*granularPressureModel_->granularPressureCoeffPrime
     (
	 alpha, 
	 gs0_, 
	 gs0Prime_, 
	 rhoa_, 
	 e_
     );

     volScalarField ppMagfFriction = frictionalStressModel_->frictionalPressurePrime
     (
	 alpha, 
	 alphaMinFriction_, 
	 alphaMax_,
         Fr_,
         eta_,
         p_
     );

     // NOTE: this might not be appropriate if J&J model is used (verify)
     forAll(alpha, cellI)
     {
	 if(alpha[cellI] >= alphaMinFriction_.value())
	 {
	     ppMagf_[cellI] = ppMagfFriction[cellI];
	 }
     }

     ppMagf_.correctBoundaryConditions();

     return ppMagf_;
 }
 */}
 
 }
 else if(mofidiedKineticTheoryPU_)
 {
     //if (!mofidiedKineticTheoryPU_)
     //{
     //    return;
     //}
     Info << " " << endl;
     Info << "Modified kinetic theory model - Chialvo-Sundaresan " << endl;

     bool testMKTimp(false);
     if(kineticTheoryProperties_.found("testMKTimp")) 
     {
	testMKTimp = true;
        Info << "Modified kinetic theory model - testing implementation (chi=1,eEff=e, ksi=1) " << endl;
     }

     bool diluteCorrection(false);          
     if(kineticTheoryProperties_.found("diluteCorrection")) 
     {
	testMKTimp = false;
	diluteCorrection = true;
        Info << "Modified kinetic theory model - Only dilute correction " << endl;
     }   

     bool denseCorrection(false);          
     if(kineticTheoryProperties_.found("denseCorrection")) 
     {
	testMKTimp = false;
	diluteCorrection = false;
	denseCorrection = true;
        Info << "Modified kinetic theory model - Only dense correction " << endl;
     }  
     
     bool frictionBlending(false); 
     if(kineticTheoryProperties_.found("frictionBlending")) 
     {
	frictionBlending = true;
        Info << "Modified kinetic theory model - Include Friction Blneding " << endl;
     } 
     
          
     if(decomposePp_) Info << "Decompose Pp into Pp - PpStar " << endl;

     bool verboseMKT(false);
     if(kineticTheoryProperties_.found("verboseMKT")) verboseMKT = true;
 
     const scalar Pi = constant::mathematical::pi;
     const scalar sqrtPi = sqrt(constant::mathematical::pi);
     const scalar constSMALL = 1.e-06; //1.e-06; 1.e-03;

     // Read from dictionary
     muFric_ = readScalar(kineticTheoryProperties_.lookup("muFriction"));
     eEff_ = e_ - 3.0 / 2.0 * muFric_ * exp(-3.0 * muFric_);
     // If only test MKT implementation 
     if(testMKTimp) eEff_ = e_;

     alphaf_ = readScalar(kineticTheoryProperties_.lookup("alphaDiluteInertialUpperLimit"));
     alphac_ = readScalar(kineticTheoryProperties_.lookup("alphaCritical"));
     alphad_ = readScalar(kineticTheoryProperties_.lookup("alphaDelta"));
     upsilons_ = readScalar(kineticTheoryProperties_.lookup("yieldStressRatio"));

     // Model parameters
     dimensionedScalar I0(0.2); // Table 2, p.15
     dimensionedScalar const_alpha(0.36); // Table 2, p.15
     dimensionedScalar const_alpha1(0.06); // Table 2, p.15

     // Calculating the radial distribution function (solid volume fraction is
     //  limited close to the packing limit, but this needs improvements)
     //  The solution is higly unstable close to the packing limit.

     gs0_ = radialModel_->g0jamming
     (
      Ua_.mesh(),
     //max(alpha, scalar(constSMALL)),
      min(max(alpha_, scalar(constSMALL)),alphaMax_ - 0.01),  //changed by YG
          alphaMax_,
      alphad_,  ///changed by YG
      alphac_ 
     );

     // particle pressure - coefficient in front of T (Eq. 1, p. 3)
     volScalarField PsCoeff	// -> rho_p * H 
     (
         granularPressureModel_->granularPressureCoeff
         (
             alpha_,
             gs0_,
             rhoa_,
             e_
         )
     );    

     PsCoeff.max(1.0e-15);
   //  PsCoeff.min(1.0e+10);
  //   PsCoeff.max(-1.0e+10);
     // Solid kinetic+collisional viscosity mua_ = nu_k^star + nu_c^star, Eq. 8,9, p.4
     // If Garzo-Dufty viscosity is used (viscosity is dimensionless), there is issue with dimension of mu1
     mua_ = viscosityModel_->mua(alpha_, Theta_, gs0_, rhoa_, da_, e_);	

     // Solid bulk viscosity mua_ = nu_k^star + nu_c^star, Eq. 10, p.4
     // If Garzo-Dufty viscosity is used (viscosity is dimensionless), there is issue with dimension of mu1
     // Create dimensionedScalar
     dimensionedScalar viscDim("zero", dimensionSet(1, -1, -1, 0, 0), 1.0);     
     lambda_ = viscDim * 384.0 / ( 25.0 * Pi ) * ( 1.0 + e_ ) * alpha_ * alpha_ * gs0_ ;  
     //lambda_ = (4.0/3.0)*sqr(alpha_)*rhoa_*da_*gs0_*(1.0+e_)*sqrt(Theta_)/sqrtPi;
     
     volScalarField ratioBulkShearVisc(lambda_/(mua_+lambda_));
     
     // J Eq.5, p3     
     volScalarField J_( 5.0 * sqrtPi / 96.0 * ( mua_ + lambda_ ) / viscDim ); // Dimension issue 

     // K Eq.6, p3
     volScalarField K_(12.0/sqrtPi*alpha_*alpha_*gs0_*(1.0-e_*e_));

     // K' Eq.26, p8 modified dissipation due to friction
     volScalarField Kmod_(K_*(1.0 - eEff_*eEff_)/(1.0 - e_*e_));

     // M Eq.30 p.9
     volScalarField M_( max( J_ / max( Kmod_, constSMALL) , const_alpha1 / sqrt( max(alphac_ - alpha_, constSMALL) ) ) ); 

     // Shear stress rate tensor
     volTensorField dU(gradUat.T());   
     volSymmTensorField D(symm(dU)); 
      
     // Shear stress rate (gammaDot)
     volScalarField gammaDot(sqrt(2.*magSqr(D)));
     dimensionedScalar gammaDotSmall("gammaDotSmall",dimensionSet(0 , 0 , -1 , 0 , 0, 0, 0), constSMALL);    

     // Dilute inertia temperature Eq.24, p8    
     volScalarField ThetaDil_ = ( J_ / max ( Kmod_ , 1e-1 ) ) * ( gammaDot * da_ ) * ( gammaDot * da_ );

     // Dense inertia temperature Eq.27, p8    
//     volScalarField ThetaDense_ =   const_alpha1 * ( gammaDot * da_ ) * ( gammaDot * da_ )
  //                               / sqrt( max(alphac_ - alpha_, constSMALL) ); 
volScalarField ThetaDense_ =   const_alpha1 * ( gammaDot * da_ ) * ( gammaDot * da_ )
                                  / sqrt( max(alphac_ - alpha_, alphad_) ) 
				  + max(alpha_ - (alphac_ - alphad_),0.0) * 0.5 *const_alpha1*( gammaDot * da_ ) * ( gammaDot * da_)*pow(alphad_,-1.5); 
     
				  
     // Theta
     Theta_ = max(ThetaDil_,ThetaDense_) ;

     if(testMKTimp || diluteCorrection) Theta_ = ThetaDil_;
     if(denseCorrection) Theta_ = ThetaDense_;
     
     // Limit granular temperature
     Theta_.max(1.0e-15);
     Theta_.min(1.0e+3);

     // Particle pressure
     pa_ = PsCoeff * Theta_;

     
     if(frictionBlending)
    {
/*      volScalarField pf = frictionalStressModel_->frictionalPressure
     (
         alpha_,
         alphaMinFriction_-0.001,
         alphaMax_,
         Fr_,
         eta_,
         p_
     );
      pa_  = pa_ + pf;
	*/
//	pa_ =pa_ + dimensionedScalar("1e24", dimensionSet(1, -1, -2, 0, 0), Fr_.value())*pow(max(alpha_ - (alphaMinFriction_), scalar(0)), 2/3);
			pa_ =pa_ + dimensionedScalar("5810", dimensionSet(1, 0, -2, 0, 0), 581.0)/da_*pow(max(alpha_ - (alphaMinFriction_-0.0), scalar(0)), 2.0/3.0);
//	pa_ =pa_ + dimensionedScalar("4.7e9", dimensionSet(1, -1, -2, 0, 0), 4.7e9)*pow(max(alpha_ - (alphaMinFriction_-0.0), scalar(0)), 1.56);
			
			
 // forAll(alpha_, cellI)
  //   {
//	 if(alpha_[cellI] >= (alphaMinFriction_.value()-0.00001))
//	 {
//	     pa_[cellI] = pa_[cellI] + 581.0/da_.value()*pow(alpha_[cellI] - (alphaMinFriction_.value()-0.00001), 2.0/3.0);
//	 }
  //   }

      
      }
     // Psi Eq.32, p.12
     dimensionedScalar psi(1.0 + 3.0/10.0*pow((1.0-e_*e_),-1.5)*(1.0-exp(-8.0*muFric_)));
     if(testMKTimp) psi = 1.0;
	 
     // Shear stress ratio in dilute regime, Eq.33, p.12
     dimensionedScalar paSmall("paSmall",dimensionSet(1, -1, -2, 0, 0), constSMALL);    
     volScalarField inertiaNumber( gammaDot * da_ / sqrt( (pa_ + paSmall) / rhoa_ ) );
	
     // Modified inertia number Eq.35, p.13
     volScalarField modInertiaNumber( inertiaNumber /  max( alpha_, constSMALL ) ); 
	 
     // Model parameters    
     volScalarField chi( 1.0 / ( pow( I0 / max( modInertiaNumber,constSMALL ) , 1.5 ) + 1.0 ));
     if(testMKTimp || diluteCorrection)  chi = max( modInertiaNumber,constSMALL ) / max( modInertiaNumber,constSMALL ) ;
          if(denseCorrection)  chi= modInertiaNumber - modInertiaNumber;
	
     // Beta + Sigma_tau Eq.49 p.14
     volScalarField beta(alpha_ * psi * J_ * sqrt( K_ /( max ( (Kmod_ * ( PsCoeff / rhoa_)), constSMALL ) ) ) ); 
     volScalarField sigmaTau( const_alpha / max( beta, constSMALL )  + ( 1 - const_alpha / max( beta, constSMALL ) ) * chi);
	 
     // Sigma_gamma Eq.51 p.14
     volScalarField sigmaGamma( beta * sqrt( PsCoeff/rhoa_ ) / max( ( Kmod_ * M_ ), constSMALL ) * sigmaTau);

     // dissipation
     volScalarField gammaCoeff
     (
         // van Wachem  (Eq. 3.24, p.50) 12.0*(1.0 - sqr(e_))*sqr(alpha_)*rhoa_*gs0_*(1.0/da_)*ThetaSqrt/sqrtPi
         // Chialvo & Sundaresan Eq.50 p.14 
         //rhoa_ / da_ * Kmod_ * Theta_ * sqrt(Theta_) * sigmaGamma
         rhoa_ / da_ * Kmod_ * sqrt(Theta_) * sigmaGamma    
     );

     // Blending function    
     volScalarField func_B( const_alpha + ( beta-const_alpha ) * chi );
	 
     // Shear stress ratio
     upsilon_ = upsilons_ * (1 - chi) + func_B * modInertiaNumber;

     // Shear stress
     volSymmTensorField S( D - 1./3.*tr(D)*I );    
     volSymmTensorField hatS( 2. * S / max( gammaDot, gammaDotSmall ) );
	 
     // Shear stress based on pressure and ratio	 
     tau_ = pa_ * upsilon_ * hatS;
   
     // Viscosity
     mua_ = ( pa_ * upsilon_ ) / (max( gammaDot, gammaDotSmall )) ; 	

     // Divide by alpha (to be consistent with OpenFOAM implementation)
/*      mua_ /= (fvc::average(alpha_) + scalar(0.001));
     tau_ /= (fvc::average(alpha_) + scalar(0.001)); 
     lambda_ /= (fvc::average(alpha_) + scalar(0.001)); */ 

        mua_ /= max(alpha_, scalar(constSMALL));

     // Limit mua
     mua_.min(3e+02);
     mua_.max(0.0);
     
     // Limit lambda
     lambda_ = mua_ * ratioBulkShearVisc;
	
     // Limit shear stress
     tau_ = mua_ * gammaDot * hatS;
     

    // tau_ /= max(alpha_, scalar(constSMALL));
    // lambda_ /= max(alpha_, scalar(constSMALL));
     
     //mua_ /= max(alpha_, scalar(constSMALL));
     //tau_ /= max(alpha_, scalar(constSMALL));
     //lambda_ /= max(alpha_, scalar(constSMALL));
          
     

     if(verboseMKT)
     {
     	#include "verboseMKT.H"
     }  

     //-AO, YG - Decompose particle pressure, Sundar's idea     
     if(decomposePp_)
     {
     	pa_ /= (fvc::average(alpha_) + scalar(0.001));
	//pa_.correctBoundaryConditions();
	pa_.max(1.0e-15);	  	  
     }  

 }
 else
 {
   return;
 }

}