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ADArrayDiffusion.C
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1//* This file is part of the MOOSE framework
2//* https://www.mooseframework.org
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 "ADArrayDiffusion.h"
11
13
16{
20 "The array Laplacian operator ($-\\nabla \\cdot \\nabla u$), with the weak "
21 "form of $(\\nabla \\phi_i, \\nabla u_h)$.");
22 return params;
23}
24
26{
27}
28
29void
30ADArrayDiffusion::computeQpResidual(ADRealEigenVector & residual)
31{
32 residual = _grad_u[_qp] * _array_grad_test[_i][_qp];
33}
registerMooseObject("MooseApp", ADArrayDiffusion)
Diffusion term for an array variable.
virtual void computeQpResidual(ADRealEigenVector &residual) override
Compute this Kernel's contribution to the residual at the current quadrature point,...
ADArrayDiffusion(const InputParameters &parameters)
static InputParameters validParams()
Base class for array variable (equation) kernels using automatic differentiation.
const ADArrayVariableGradient & _grad_u
Holds the solution gradient at current quadrature points.
static InputParameters validParams()
const MappedArrayVariablePhiGradient & _array_grad_test
static InputParameters validParams()
The main MOOSE class responsible for handling user-defined parameters in almost every MOOSE system.
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