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HomogenizedTotalLagrangianStressDivergence.h
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9 
10 #pragma once
11 
13 
15 #include "MooseVariableScalar.h"
16 #include "Assembly.h"
17 
26 {
27 public:
30 
31 protected:
33  virtual void computeOffDiagJacobianScalar(unsigned int jvar) override;
34 
36  const unsigned int _macro_gradient_num;
37 
38  // Which indices are constrained and what types of constraints
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43 
48 };
std::map< std::pair< unsigned int, unsigned int >, std::pair< ConstraintType, const Function * > > ConstraintMap
DenseMatrix< Number > _kne
Derivatives of jvar with respect to ivar.
Computes ${V}(X_{ij}-{X}_{ij})dV$.
virtual void computeOffDiagJacobianScalar(unsigned int jvar) override
Homogenization constraint diagonal term.
DenseMatrix< Number > _ken
Derivatives of ivar with respect to jvar.
const Homogenization::ConstraintMap & _cmap
The constraint map.
Total Lagrangian formulation with cross-jacobian homogenization terms.
Enforce equilibrium with a total Lagrangian formulation.
HomogenizedTotalLagrangianStressDivergence(const InputParameters &parameters)
const unsigned int _macro_gradient_num
The scalar variable used to enforce the homogenization constraints.