Total Lagrangian formulation with all homogenization terms (one disp_xyz field and macro_gradient scalar) More...

#include <HomogenizedTotalLagrangianStressDivergenceS.h>

Inheritance diagram for HomogenizedTotalLagrangianStressDivergenceS:

Public Types
typedef std::vector< int >	JvarMap

Public Member Functions
	HomogenizedTotalLagrangianStressDivergenceS (const InputParameters &parameters)

virtual void	initialSetup () override

template<>
void	initialSetup ()

template<>
void	initialSetup ()

template<>
void	initialSetup ()

virtual void	computeOffDiagJacobian (unsigned int jvar) override

unsigned int	mapJvarToCvar (unsigned int jvar)

int	mapJvarToCvar (unsigned int jvar, const JvarMap &jvar_map)

bool	mapJvarToCvar (unsigned int jvar, unsigned int &cvar)

const JvarMap &	getJvarMap ()

const JvarMap &	getParameterJvarMap (std::string parameter_name)

Static Public Member Functions
static InputParameters	validParams ()

static InputParameters	baseParams ()

Protected Member Functions
virtual void	computeScalarResidual () override
	Method for computing the scalar part of residual for _kappa. More...

virtual void	computeScalarJacobian () override
	Method for computing the scalar variable part of Jacobian for d-_kappa-residual / d-_kappa. More...

virtual void	computeScalarOffDiagJacobian (const unsigned int jvar_num) override
	Method for computing an off-diagonal jacobian component d-_kappa-residual / d-jvar. More...

virtual Real	computeScalarQpOffDiagJacobian (const unsigned int jvar_num) override
	Method for computing an off-diagonal jacobian component at quadrature points. More...

virtual void	computeOffDiagJacobianScalarLocal (const unsigned int svar_num) override
	Method for computing an off-diagonal jacobian component d-_var-residual / d-svar. More...

virtual Real	computeQpOffDiagJacobianScalar (const unsigned int svar_num) override
	Method for computing d-_var-residual / d-svar at quadrature points. More...

virtual RankTwoTensor	gradTest (unsigned int component) override

virtual RankTwoTensor	gradTrial (unsigned int component) override

virtual void	precalculateJacobianDisplacement (unsigned int component) override
	Prepare the average shape function gradients for stabilization. More...

virtual Real	computeQpResidual () override

virtual Real	computeQpJacobianDisplacement (unsigned int alpha, unsigned int beta) override

virtual Real	computeQpJacobianTemperature (unsigned int cvar) override

virtual Real	computeQpJacobianOutOfPlaneStrain () override

virtual void	precalculateJacobian () override

virtual void	precalculateOffDiagJacobian (unsigned int jvar) override

virtual Real	computeQpJacobian () override

virtual Real	computeQpOffDiagJacobian (unsigned int jvar) override

Protected Attributes
HomogenizationS::ConstraintMap	_cmap
	Type of each constraint (stress or strain) for each component. More...

HomogenizationS::ConstraintType	_ctype = HomogenizationS::ConstraintType::None
	The constraint type; initialize with 'none'. More...

unsigned int	_m
	Used internally to iterate over each scalar component. More...

unsigned int	_n

unsigned int	_a

unsigned int	_b

const MaterialProperty< RankTwoTensor > &	_pk1
	The 1st Piola-Kirchhoff stress. More...

const MaterialProperty< RankFourTensor > &	_dpk1
	The derivative of the PK1 stress with respect to the deformation gradient. More...

const bool	_large_kinematics
	If true use large deformation kinematics. More...

const bool	_stabilize_strain
	If true calculate the deformation gradient derivatives for F_bar. More...

const std::string	_base_name
	Prepend to the material properties. More...

const unsigned int	_alpha
	Which component of the vector residual this kernel is responsible for. More...

const unsigned int	_ndisp
	Total number of displacements/size of residual vector. More...

std::vector< unsigned int >	_disp_nums
	The displacement numbers. More...

std::vector< std::vector< RankTwoTensor > >	_avg_grad_trial

const MaterialProperty< RankTwoTensor > &	_F_ust
	The unmodified deformation gradient. More...

const MaterialProperty< RankTwoTensor > &	_F_avg
	The element-average deformation gradient. More...

const MaterialProperty< RankTwoTensor > &	_f_inv
	The inverse increment deformation gradient. More...

const MaterialProperty< RankTwoTensor > &	_F_inv
	The inverse deformation gradient. More...

const MaterialProperty< RankTwoTensor > &	_F
	The actual (stabilized) deformation gradient. More...

const MooseVariable *	_temperature
	Temperature, if provided. This is used only to get the trial functions. More...

const MooseVariable *	_out_of_plane_strain
	Out-of-plane strain, if provided. More...

std::vector< std::vector< const MaterialProperty< RankTwoTensor > * > >	_deigenstrain_dargs
	Eigenstrain derivatives wrt generate coupleds. More...

const unsigned int	_n_args

Detailed Description

Total Lagrangian formulation with all homogenization terms (one disp_xyz field and macro_gradient scalar)

Definition at line 32 of file HomogenizedTotalLagrangianStressDivergenceS.h.

Constructor & Destructor Documentation

◆ HomogenizedTotalLagrangianStressDivergenceS()

HomogenizedTotalLagrangianStressDivergenceS::HomogenizedTotalLagrangianStressDivergenceS ( const InputParameters & parameters )

Definition at line 37 of file HomogenizedTotalLagrangianStressDivergenceS.C.

   : TotalLagrangianStressDivergenceS(parameters)
 {
   // Constraint types
   auto types = getParam<MultiMooseEnum>("constraint_types");
   if (types.size() != Moose::dim * Moose::dim)
     mooseError("Number of constraint types must equal dim * dim. ", types.size(), " are provided.");
 
   // Targets to hit
   const std::vector<FunctionName> & fnames = getParam<std::vector<FunctionName>>("targets");
 
   // Prepare the constraint map
   unsigned int fcount = 0;
   for (const auto j : make_range(Moose::dim))
     for (const auto i : make_range(Moose::dim))
     {
       const auto idx = i + Moose::dim * j;
       const auto ctype = static_cast<HomogenizationS::ConstraintType>(types.get(idx));
       if (ctype != HomogenizationS::ConstraintType::None)
       {
         const Function * const f = &getFunctionByName(fnames[fcount++]);
         _cmap[{i, j}] = {ctype, f};
       }
     }
 }

Member Function Documentation

◆ baseParams()

template<class G >

InputParameters TotalLagrangianStressDivergenceBaseS< G >::baseParams ( )

staticinherited

Definition at line 14 of file TotalLagrangianStressDivergenceBaseS.C.

Referenced by TotalLagrangianStressDivergenceBaseS< G >::validParams().

 {
   InputParameters params = LagrangianStressDivergenceBaseS::validParams();
   // This kernel requires use_displaced_mesh to be off
   params.suppressParameter<bool>("use_displaced_mesh");
   return params;
 }

◆ computeOffDiagJacobianScalarLocal()

void HomogenizedTotalLagrangianStressDivergenceS::computeOffDiagJacobianScalarLocal ( const unsigned int svar_num )

overrideprotectedvirtual

Method for computing an off-diagonal jacobian component d-_var-residual / d-svar.

svar is looped over all scalar variables, which herein is just _kappa

Definition at line 192 of file HomogenizedTotalLagrangianStressDivergenceS.C.

 {
 
   // Get dofs and order of this scalar; at least one will be _kappa_var
   const auto & svar = _sys.getScalarVariable(_tid, svar_num);
   const unsigned int s_order = svar.order();
   _local_ke.resize(_test.size(), s_order);
 
   for (_qp = 0; _qp < _qrule->n_points(); _qp++)
   {
     unsigned int l = 0;
     Real dV = _JxW[_qp] * _coord[_qp];
     for (auto && [indices, constraint] : _cmap)
     {
       // copy constraint indices to protected variables to pass to Qp routine
       _m = indices.first;
       _n = indices.second;
       _ctype = constraint.first;
       initScalarQpJacobian(svar_num);
       for (_i = 0; _i < _test.size(); _i++)
       {
         _local_ke(_i, l) += dV * computeQpOffDiagJacobianScalar(svar_num);
       }
       l++;
     }
   }
 
   addJacobian(_assembly, _local_ke, _var.dofIndices(), svar.dofIndices(), _var.scalingFactor());
 }

◆ computeQpJacobian()

Real LagrangianStressDivergenceBaseS::computeQpJacobian ( )

overrideprotectedvirtualinherited

Definition at line 115 of file LagrangianStressDivergenceBaseS.C.

 {
   return computeQpJacobianDisplacement(_alpha, _alpha);
 }

◆ computeQpJacobianDisplacement()

template<class G >

Real TotalLagrangianStressDivergenceBaseS< G >::computeQpJacobianDisplacement	(	unsigned int	alpha,
		unsigned int	beta
	)

overrideprotectedvirtualinherited

Implements LagrangianStressDivergenceBaseS.

Reimplemented in HomogenizedTotalLagrangianStressDivergenceA, and HomogenizedTotalLagrangianStressDivergenceR.

Definition at line 101 of file TotalLagrangianStressDivergenceBaseS.C.

 {
   // J_{alpha beta} = phi^alpha_{i, J} T_{iJkL} G^beta_{kL}
   return gradTest(alpha).doubleContraction(_dpk1[_qp] * gradTrial(beta));
 }

◆ computeQpJacobianOutOfPlaneStrain()

template<class G >

Real TotalLagrangianStressDivergenceBaseS< G >::computeQpJacobianOutOfPlaneStrain ( )

overrideprotectedvirtualinherited

Implements LagrangianStressDivergenceBaseS.

Definition at line 128 of file TotalLagrangianStressDivergenceBaseS.C.

 {
   return _dpk1[_qp].contractionKl(2, 2, gradTest(_alpha)) * _out_of_plane_strain->phi()[_j][_qp];
 }

◆ computeQpJacobianTemperature()

template<class G >

Real TotalLagrangianStressDivergenceBaseS< G >::computeQpJacobianTemperature ( unsigned int cvar )

overrideprotectedvirtualinherited

Implements LagrangianStressDivergenceBaseS.

Definition at line 110 of file TotalLagrangianStressDivergenceBaseS.C.

 {
   usingTensorIndices(i_, j_, k_, l_);
   // Multiple eigenstrains may depend on the same coupled var
   RankTwoTensor total_deigen;
   for (const auto deigen_darg : _deigenstrain_dargs[cvar])
     total_deigen += (*deigen_darg)[_qp];
 
   const auto A = _f_inv[_qp].inverse();
   const auto B = _F_inv[_qp].inverse();
   const auto U = 0.5 * (A.template times<i_, k_, l_, j_>(B) + A.template times<i_, l_, k_, j_>(B));
 
   return -(_dpk1[_qp] * U * total_deigen).doubleContraction(gradTest(_alpha)) *
          _temperature->phi()[_j][_qp];
 }

◆ computeQpOffDiagJacobian()

Real LagrangianStressDivergenceBaseS::computeQpOffDiagJacobian ( unsigned int jvar )

overrideprotectedvirtualinherited

Definition at line 121 of file LagrangianStressDivergenceBaseS.C.

 {
   // Bail if jvar not coupled
   if (getJvarMap()[jvar] < 0)
     return 0.0;
 
   // Off diagonal terms for other displacements
   for (auto beta : make_range(_ndisp))
     if (jvar == _disp_nums[beta])
       return computeQpJacobianDisplacement(_alpha, beta);
 
   // Off diagonal temperature term due to eigenstrain
   if (_temperature && jvar == _temperature->number())
     return computeQpJacobianTemperature(mapJvarToCvar(jvar));
 
   // Off diagonal term due to weak plane stress
   if (_out_of_plane_strain && jvar == _out_of_plane_strain->number())
     return computeQpJacobianOutOfPlaneStrain();
 
   return 0;
 }

◆ computeQpOffDiagJacobianScalar()

Real HomogenizedTotalLagrangianStressDivergenceS::computeQpOffDiagJacobianScalar ( const unsigned int svar_num )

overrideprotectedvirtual

Method for computing d-_var-residual / d-svar at quadrature points.

Definition at line 224 of file HomogenizedTotalLagrangianStressDivergenceS.C.

Referenced by computeOffDiagJacobianScalarLocal().

 {
   // Just in case, skip any other scalar variables
   if (svar_num == _kappa_var)
     return _dpk1[_qp].contractionKl(_m, _n, gradTest(_alpha));
   else
     return 0.;
 }

◆ computeQpResidual()

template<class G >

Real TotalLagrangianStressDivergenceBaseS< G >::computeQpResidual ( )

overrideprotectedvirtualinherited

Reimplemented in HomogenizedTotalLagrangianStressDivergenceA, and HomogenizedTotalLagrangianStressDivergenceR.

Definition at line 94 of file TotalLagrangianStressDivergenceBaseS.C.

 {
   return gradTest(_alpha).doubleContraction(_pk1[_qp]);
 }

◆ computeScalarJacobian()

void HomogenizedTotalLagrangianStressDivergenceS::computeScalarJacobian ( )

overrideprotectedvirtual

Method for computing the scalar variable part of Jacobian for d-_kappa-residual / d-_kappa.

Definition at line 111 of file HomogenizedTotalLagrangianStressDivergenceS.C.

 {
   _local_ke.resize(_k_order, _k_order);
 
   // only assemble scalar residual once; i.e. when handling the first displacement component
   if (_alpha == 0)
   {
     for (_qp = 0; _qp < _qrule->n_points(); _qp++)
     {
       initScalarQpJacobian(_kappa_var);
       Real dV = _JxW[_qp] * _coord[_qp];
 
       _h = 0;
       for (auto && [indices1, constraint1] : _cmap)
       {
         auto && [i, j] = indices1;
         auto && ctype = constraint1.first;
         _l = 0;
         for (auto && indices2 : _cmap)
         {
           auto && [a, b] = indices2.first;
           if (ctype == HomogenizationS::ConstraintType::Stress)
             _local_ke(_h, _l++) += dV * (_dpk1[_qp](i, j, a, b));
           else if (ctype == HomogenizationS::ConstraintType::Strain)
           {
             if (_large_kinematics)
               _local_ke(_h, _l++) += dV * (Real(i == a && j == b));
             else
               _local_ke(_h, _l++) +=
                   dV * (0.5 * Real(i == a && j == b) + 0.5 * Real(i == b && j == a));
           }
           else
             mooseError("Unknown constraint type in Jacobian calculator!");
         }
         _h++;
       }
     }
   }
 
   addJacobian(_assembly,
               _local_ke,
               _kappa_var_ptr->dofIndices(),
               _kappa_var_ptr->dofIndices(),
               _kappa_var_ptr->scalingFactor());
 }

◆ computeScalarOffDiagJacobian()

void HomogenizedTotalLagrangianStressDivergenceS::computeScalarOffDiagJacobian ( const unsigned int jvar_num )

overrideprotectedvirtual

Method for computing an off-diagonal jacobian component d-_kappa-residual / d-jvar.

jvar is looped over all field variables, which herein is just disp_x and disp_y

Definition at line 158 of file HomogenizedTotalLagrangianStressDivergenceS.C.

 {
   const auto & jvar = getVariable(jvar_num);
   // Get dofs and order of this variable; at least one will be _var
   const auto jvar_size = jvar.phiSize();
   _local_ke.resize(_k_order, jvar_size);
 
   for (_qp = 0; _qp < _qrule->n_points(); _qp++)
   {
     // single index for Jacobian column; double indices for constraint tensor component
     unsigned int h = 0;
     Real dV = _JxW[_qp] * _coord[_qp];
     for (auto && [indices, constraint] : _cmap)
     {
       // copy constraint indices to protected variables to pass to Qp routine
       _m = indices.first;
       _n = indices.second;
       _ctype = constraint.first;
       initScalarQpOffDiagJacobian(jvar);
       for (_j = 0; _j < jvar_size; _j++)
         _local_ke(h, _j) += dV * computeScalarQpOffDiagJacobian(jvar_num);
       h++;
     }
   }
 
   addJacobian(_assembly,
               _local_ke,
               _kappa_var_ptr->dofIndices(),
               jvar.dofIndices(),
               _kappa_var_ptr->scalingFactor());
 }

◆ computeScalarQpOffDiagJacobian()

Real HomogenizedTotalLagrangianStressDivergenceS::computeScalarQpOffDiagJacobian ( const unsigned int jvar_num )

overrideprotectedvirtual

Method for computing an off-diagonal jacobian component at quadrature points.

Definition at line 234 of file HomogenizedTotalLagrangianStressDivergenceS.C.

Referenced by computeScalarOffDiagJacobian().

 {
   // ONLY assemble the contribution from _alpha component, which is connected with _var
   // The other components are handled by other kernel instances with other _alpha
   if (jvar_num == _var.number())
   {
     if (_ctype == HomogenizationS::ConstraintType::Stress)
       return _dpk1[_qp].contractionIj(_m, _n, gradTrial(_alpha));
     else if (_ctype == HomogenizationS::ConstraintType::Strain)
       if (_large_kinematics)
         return Real(_m == _alpha) * gradTrial(_alpha)(_m, _n);
       else
         return 0.5 * (Real(_m == _alpha) * gradTrial(_alpha)(_m, _n) +
                       Real(_n == _alpha) * gradTrial(_alpha)(_n, _m));
     else
       mooseError("Unknown constraint type in kernel calculation!");
   }
   else
     return 0.;
 }

◆ computeScalarResidual()

void HomogenizedTotalLagrangianStressDivergenceS::computeScalarResidual ( )

overrideprotectedvirtual

Method for computing the scalar part of residual for _kappa.

Definition at line 65 of file HomogenizedTotalLagrangianStressDivergenceS.C.

 {
   std::vector<Real> scalar_residuals(_k_order);
 
   // only assemble scalar residual once; i.e. when handling the first displacement component
   if (_alpha == 0)
   {
     for (_qp = 0; _qp < _qrule->n_points(); _qp++)
     {
       initScalarQpResidual();
       Real dV = _JxW[_qp] * _coord[_qp];
       _h = 0; // single index for residual vector; double indices for constraint tensor component
       for (auto && [indices, constraint] : _cmap)
       {
         auto && [i, j] = indices;
         auto && [ctype, ctarget] = constraint;
 
         if (_large_kinematics)
         {
           if (ctype == HomogenizationS::ConstraintType::Stress)
             scalar_residuals[_h++] += dV * (_pk1[_qp](i, j) - ctarget->value(_t, _q_point[_qp]));
           else if (ctype == HomogenizationS::ConstraintType::Strain)
             scalar_residuals[_h++] +=
                 dV * (_F[_qp](i, j) - (Real(i == j) + ctarget->value(_t, _q_point[_qp])));
           else
             mooseError("Unknown constraint type in the integral!");
         }
         else
         {
           if (ctype == HomogenizationS::ConstraintType::Stress)
             scalar_residuals[_h++] += dV * (_pk1[_qp](i, j) - ctarget->value(_t, _q_point[_qp]));
           else if (ctype == HomogenizationS::ConstraintType::Strain)
             scalar_residuals[_h++] += dV * (0.5 * (_F[_qp](i, j) + _F[_qp](j, i)) -
                                             (Real(i == j) + ctarget->value(_t, _q_point[_qp])));
           else
             mooseError("Unknown constraint type in the integral!");
         }
       }
     }
   }
 
   addResiduals(
       _assembly, scalar_residuals, _kappa_var_ptr->dofIndices(), _kappa_var_ptr->scalingFactor());
 }

◆ gradTest()

template<class G >

RankTwoTensor TotalLagrangianStressDivergenceBaseS< G >::gradTest ( unsigned int component )

overrideprotectedvirtualinherited

Implements LagrangianStressDivergenceBaseS.

Definition at line 33 of file TotalLagrangianStressDivergenceBaseS.C.

Referenced by HomogenizedTotalLagrangianStressDivergenceR::computeQpJacobianDisplacement(), HomogenizedTotalLagrangianStressDivergenceA::computeQpJacobianDisplacement(), computeQpOffDiagJacobianScalar(), HomogenizedTotalLagrangianStressDivergenceR::computeQpOffDiagJacobianScalar(), HomogenizedTotalLagrangianStressDivergenceA::computeQpOffDiagJacobianScalar(), HomogenizedTotalLagrangianStressDivergenceR::computeQpResidual(), and HomogenizedTotalLagrangianStressDivergenceA::computeQpResidual().

 {
   // F-bar doesn't modify the test function
   return G::gradOp(component, _grad_test[_i][_qp], _test[_i][_qp], _q_point[_qp]);
 }

◆ gradTrial()

template<class G >

RankTwoTensor TotalLagrangianStressDivergenceBaseS< G >::gradTrial ( unsigned int component )

overrideprotectedvirtualinherited

Implements LagrangianStressDivergenceBaseS.

Definition at line 41 of file TotalLagrangianStressDivergenceBaseS.C.

Referenced by HomogenizedTotalLagrangianStressDivergenceR::computeQpJacobianDisplacement(), HomogenizedTotalLagrangianStressDivergenceA::computeQpJacobianDisplacement(), computeScalarQpOffDiagJacobian(), HomogenizedTotalLagrangianStressDivergenceR::computeScalarQpOffDiagJacobian(), and HomogenizedTotalLagrangianStressDivergenceA::computeScalarQpOffDiagJacobian().

 {
   return _stabilize_strain ? gradTrialStabilized(component) : gradTrialUnstabilized(component);
 }

◆ initialSetup() [1/4]

template<>

void TotalLagrangianStressDivergenceBaseS< GradientOperatorCartesian >::initialSetup ( )

inlineinherited

Definition at line 26 of file TotalLagrangianStressDivergenceS.h.

 {
   if (getBlockCoordSystem() != Moose::COORD_XYZ)
     mooseError("This kernel should only act in Cartesian coordinates.");
 }

◆ initialSetup() [2/4]

template<>

void TotalLagrangianStressDivergenceBaseS< GradientOperatorAxisymmetricCylindrical >::initialSetup ( )

inherited

Definition at line 26 of file TotalLagrangianStressDivergenceAxisymmetricCylindricalS.h.

 {
   if (getBlockCoordSystem() != Moose::COORD_RZ)
     mooseError("This kernel should only act in axisymmetric cylindrical coordinates.");
 }

◆ initialSetup() [3/4]

template<>

void TotalLagrangianStressDivergenceBaseS< GradientOperatorCentrosymmetricSpherical >::initialSetup ( )

inherited

Definition at line 26 of file TotalLagrangianStressDivergenceCentrosymmetricSphericalS.h.

 {
   if (getBlockCoordSystem() != Moose::COORD_RSPHERICAL)
     mooseError("This kernel should only act in centrosymmetric spherical coordinates.");
 }

◆ initialSetup() [4/4]

template<class G >

virtual void TotalLagrangianStressDivergenceBaseS< G >::initialSetup ( )

overridevirtualinherited

◆ precalculateJacobian()

void LagrangianStressDivergenceBaseS::precalculateJacobian ( )

overrideprotectedvirtualinherited

Definition at line 85 of file LagrangianStressDivergenceBaseS.C.

 {
   // Skip if we are not doing stabilization
   if (!_stabilize_strain)
     return;
 
   // We need the gradients of shape functions in the reference frame
   _fe_problem.prepareShapes(_var.number(), _tid);
   _avg_grad_trial[_alpha].resize(_phi.size());
   precalculateJacobianDisplacement(_alpha);
 }

◆ precalculateJacobianDisplacement()

template<class G >

void TotalLagrangianStressDivergenceBaseS< G >::precalculateJacobianDisplacement ( unsigned int component )

overrideprotectedvirtualinherited

Prepare the average shape function gradients for stabilization.

Implements LagrangianStressDivergenceBaseS.

Definition at line 80 of file TotalLagrangianStressDivergenceBaseS.C.

 {
   // For total Lagrangian, the averaging is taken on the reference frame regardless of geometric
   // nonlinearity. Convenient!
   for (auto j : make_range(_phi.size()))
     _avg_grad_trial[component][j] = StabilizationUtils::elementAverage(
         [this, component, j](unsigned int qp)
         { return G::gradOp(component, _grad_phi[j][qp], _phi[j][qp], _q_point[qp]); },
         _JxW,
         _coord);
 }

◆ precalculateOffDiagJacobian()

void LagrangianStressDivergenceBaseS::precalculateOffDiagJacobian ( unsigned int jvar )

overrideprotectedvirtualinherited

Definition at line 98 of file LagrangianStressDivergenceBaseS.C.

 {
   // Skip if we are not doing stabilization
   if (!_stabilize_strain)
     return;
 
   for (auto beta : make_range(_ndisp))
     if (jvar == _disp_nums[beta])
     {
       // We need the gradients of shape functions in the reference frame
       _fe_problem.prepareShapes(jvar, _tid);
       _avg_grad_trial[beta].resize(_phi.size());
       precalculateJacobianDisplacement(beta);
     }
 }

◆ validParams()

InputParameters HomogenizedTotalLagrangianStressDivergenceS::validParams ( )

static

Definition at line 19 of file HomogenizedTotalLagrangianStressDivergenceS.C.

 {
   InputParameters params = TotalLagrangianStressDivergenceS::validParams();
   params.addClassDescription("Total Lagrangian stress equilibrium kernel with "
                              "homogenization constraint Jacobian terms");
   params.renameCoupledVar(
       "scalar_variable", "macro_var", "Optional scalar field with the macro gradient");
   params.addRequiredParam<MultiMooseEnum>(
       "constraint_types",
       HomogenizationS::constraintType,
       "Type of each constraint: strain, stress, or none. The types are specified in the "
       "column-major order, and there must be 9 entries in total.");
   params.addRequiredParam<std::vector<FunctionName>>(
       "targets", "Functions giving the targets to hit for constraint types that are not none.");
 
   return params;
 }