SensitivityFilter.C

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//* This file is part of the MOOSE framework
//* https://mooseframework.inl.gov
//*
//* All rights reserved, see COPYRIGHT for full restrictions
//* https://github.com/idaholab/moose/blob/master/COPYRIGHT
//*
//* Licensed under LGPL 2.1, please see LICENSE for details
//* https://www.gnu.org/licenses/lgpl-2.1.html
 
#include "SensitivityFilter.h"
#include "MooseError.h"
#include <algorithm>
 
registerMooseObject("OptimizationApp", SensitivityFilter);
 
InputParameters
SensitivityFilter::validParams()
{
  InputParameters params = ElementUserObject::validParams();
  params.addClassDescription(
      "Computes the filtered sensitivity using a radial average user object.");
  params.addRequiredParam<UserObjectName>("filter_UO", "Radial Average user object");
  params.addRequiredCoupledVar("density_sensitivity", "Name of the density_sensitivity variable.");
  params.addRequiredParam<VariableName>("design_density", "Design density variable name.");
 
  return params;
}
 
SensitivityFilter::SensitivityFilter(const InputParameters & parameters)
  : ElementUserObject(parameters),
    _filter(getUserObject<RadialAverage>("filter_UO").getAverage()),
    _density_sensitivity(writableVariable("density_sensitivity")),
    _design_density_name(getParam<VariableName>("design_density")),
    _design_density(_subproblem.getStandardVariable(_tid, _design_density_name))
{
}
 
void
SensitivityFilter::execute()
{
  // Find the current element in the filter
  auto filter_iter = _filter.find(_current_elem->id());
 
  // Assert the element is found in the filter
  mooseAssert(filter_iter != _filter.end(),
              "An element could not be found in the filter. Check that a RadialAverage user object "
              "has run before this object.");
 
  // Get the quadrature point values from the filter
  std::vector<Real> qp_vals = filter_iter->second;
 
  // Initialize the total elemental sensitivity value
  Real den_sense_val = 0;
 
  // Compute the total elemental sensitivity value by summing over all quadrature points
  for (unsigned int qp = 0; qp < _qrule->n_points(); qp++)
    den_sense_val += qp_vals[qp] * _JxW[qp];
 
  den_sense_val /= _current_elem_volume;
 
  // Set the nodal value of the density sensitivity
  _density_sensitivity.setNodalValue(den_sense_val);
}