Line data    Source code

       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 "WeakGradientBC.h"
      11             : 
      12             : registerMooseObject("MooseApp", WeakGradientBC);
      13             : 
      14             : InputParameters
      15       14315 : WeakGradientBC::validParams()
      16             : {
      17       14315 :   InputParameters params = IntegratedBC::validParams();
      18       14315 :   params.addClassDescription(
      19             :       "Computes a boundary residual contribution consistent with the Diffusion Kernel. "
      20             :       "Does not impose a boundary condition; instead computes the boundary "
      21             :       "contribution corresponding to the current value of grad(u) and accumulates "
      22             :       "it in the residual vector.");
      23       14315 :   return params;
      24           0 : }
      25             : 
      26          26 : WeakGradientBC::WeakGradientBC(const InputParameters & parameters) : IntegratedBC(parameters) {}
      27             : 
      28             : Real
      29      321600 : WeakGradientBC::computeQpResidual()
      30             : {
      31      321600 :   return (_grad_u[_qp] * _normals[_qp]) * _test[_i][_qp];
      32             : }
      33             : 
      34             : Real
      35      102400 : WeakGradientBC::computeQpJacobian()
      36             : {
      37      102400 :   return (_grad_phi[_j][_qp] * _normals[_qp]) * _test[_i][_qp];
      38             : }