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ADFluxDivergence.C
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1//* This file is part of the MOOSE framework
2//* https://mooseframework.inl.gov
3//*
4//* All rights reserved, see COPYRIGHT for full restrictions
5//* https://github.com/idaholab/moose/blob/master/COPYRIGHT
6//*
7//* Licensed under LGPL 2.1, please see LICENSE for details
8//* https://www.gnu.org/licenses/lgpl-2.1.html
9
10#include "ADFluxDivergence.h"
11
13
16{
18 params.addClassDescription("Computes divergence of a flux vector provided by a material.");
19 params.addParam<MaterialPropertyName>(
20 "flux", "flux", "Name of the flux vector material property");
21 return params;
22}
23
25 : ADKernel(parameters), _flux(getADMaterialProperty<RealVectorValue>("flux"))
26{
27}
28
registerMooseObject("MooseApp", ADFluxDivergence)
DualNumber< Real, DNDerivativeType, true > ADReal
Kernel computing the weak divergence of a flux vector supplied by a material.
static InputParameters validParams()
const ADMaterialProperty< RealVectorValue > & _flux
Flux vector material property.
ADReal computeQpResidual() override
Compute this Kernel's contribution to the residual at the current quadrature point.
ADFluxDivergence(const InputParameters &parameters)
const ADTemplateVariableTestGradient< T > & _grad_test
gradient of the test function
Definition ADKernel.h:86
static InputParameters validParams()
Definition ADKernel.C:24
The main MOOSE class responsible for handling user-defined parameters in almost every MOOSE system.
void addParam(const std::string &name, const S &value, const std::string &doc_string)
These methods add an optional parameter and a documentation string to the InputParameters object.
void addClassDescription(const std::string &doc_string)
This method adds a description of the class that will be displayed in the input file syntax dump.
unsigned int _qp
The current quadrature point index.
Definition KernelBase.h:43
unsigned int _i
current index for the test function
Definition KernelBase.h:58