SteffensenSolve.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 "SteffensenSolve.h"
 
#include "Executioner.h"
#include "FEProblemBase.h"
#include "NonlinearSystem.h"
#include "AllLocalDofIndicesThread.h"
#include "Console.h"
#include "DefaultMultiAppFixedPointConvergence.h"
 
InputParameters
SteffensenSolve::validParams()
{
  InputParameters params = FixedPointSolve::validParams();
 
  return params;
}
 
SteffensenSolve::SteffensenSolve(Executioner & ex) : FixedPointSolve(ex) {}
 
void
SteffensenSolve::allocateStorage(const bool primary)
{
  findTransformedSystem(primary);
 
  TagID fxn_m1_tagid;
  TagID xn_m1_tagid;
  const std::vector<PostprocessorName> * transformed_pps;
  std::vector<std::vector<PostprocessorValue>> * transformed_pps_values;
  if (primary)
  {
    xn_m1_tagid = _problem.addVectorTag("xn_m1", Moose::VECTOR_TAG_SOLUTION);
    fxn_m1_tagid = _problem.addVectorTag("fxn_m1", Moose::VECTOR_TAG_SOLUTION);
    transformed_pps = &_transformed_pps;
    transformed_pps_values = &_transformed_pps_values;
    _xn_m1_tagid = xn_m1_tagid;
    _fxn_m1_tagid = fxn_m1_tagid;
  }
  else
  {
    xn_m1_tagid = _problem.addVectorTag("secondary_xn_m1", Moose::VECTOR_TAG_SOLUTION);
    fxn_m1_tagid = _problem.addVectorTag("secondary_fxn_m1", Moose::VECTOR_TAG_SOLUTION);
    transformed_pps = &_secondary_transformed_pps;
    transformed_pps_values = &_secondary_transformed_pps_values;
    _secondary_xn_m1_tagid = xn_m1_tagid;
    _secondary_fxn_m1_tagid = fxn_m1_tagid;
  }
 
  // Store a copy of the previous solution here
  // If we don't have a transformed system, we are not accelerating variables
  if (_transformed_sys)
  {
    _transformed_sys->addVector(xn_m1_tagid, false, PARALLEL);
    _transformed_sys->addVector(fxn_m1_tagid, false, PARALLEL);
  }
 
  // Allocate storage for the previous postprocessor values
  (*transformed_pps_values).resize((*transformed_pps).size());
  for (size_t i = 0; i < (*transformed_pps).size(); i++)
    (*transformed_pps_values)[i].resize(2);
}
 
void
SteffensenSolve::initialSetup()
{
  FixedPointSolve::initialSetup();
 
  auto & convergence = _problem.getConvergence(_problem.getMultiAppFixedPointConvergenceName());
  if (!dynamic_cast<DefaultMultiAppFixedPointConvergence *>(&convergence))
    mooseError(
        "Only DefaultMultiAppFixedPointConvergence objects may be used for "
        "'multiapp_fixed_point_convergence' when using the Steffensen fixed point algorithm.");
}
 
void
SteffensenSolve::saveVariableValues(const bool primary)
{
  unsigned int iteration;
  TagID fxn_m1_tagid;
  TagID xn_m1_tagid;
  if (primary)
  {
    iteration = _fixed_point_it;
    fxn_m1_tagid = _fxn_m1_tagid;
    xn_m1_tagid = _xn_m1_tagid;
  }
  else
  {
    iteration = _main_fixed_point_it;
    fxn_m1_tagid = _secondary_fxn_m1_tagid;
    xn_m1_tagid = _secondary_xn_m1_tagid;
  }
 
  // Check to make sure allocateStorage has been called
  mooseAssert(fxn_m1_tagid != Moose::INVALID_TAG_ID,
              "allocateStorage has not been called with primary = " + Moose::stringify(primary));
  mooseAssert(xn_m1_tagid != Moose::INVALID_TAG_ID,
              "allocateStorage has not been called with primary = " + Moose::stringify(primary));
 
  // Save previous variable values
  NumericVector<Number> & solution = _transformed_sys->solution();
  NumericVector<Number> & fxn_m1 = _transformed_sys->getVector(fxn_m1_tagid);
  NumericVector<Number> & xn_m1 = _transformed_sys->getVector(xn_m1_tagid);
 
  // What 'solution' is with regards to the Steffensen solve depends on the step
  if (iteration % 2 == 1)
    xn_m1 = solution;
  else
    fxn_m1 = solution;
}
 
void
SteffensenSolve::savePostprocessorValues(const bool primary)
{
  unsigned int iteration;
  const std::vector<PostprocessorName> * transformed_pps;
  std::vector<std::vector<PostprocessorValue>> * transformed_pps_values;
  if (primary)
  {
    iteration = _fixed_point_it;
    transformed_pps = &_transformed_pps;
    transformed_pps_values = &_transformed_pps_values;
  }
  else
  {
    iteration = _main_fixed_point_it;
    transformed_pps = &_secondary_transformed_pps;
    transformed_pps_values = &_secondary_transformed_pps_values;
  }
 
  // Save previous postprocessor values
  for (size_t i = 0; i < (*transformed_pps).size(); i++)
  {
    if (iteration % 2 == 0)
      (*transformed_pps_values)[i][1] = getPostprocessorValueByName((*transformed_pps)[i]);
    else
      (*transformed_pps_values)[i][0] = getPostprocessorValueByName((*transformed_pps)[i]);
  }
}
 
bool
SteffensenSolve::useFixedPointAlgorithmUpdateInsteadOfPicard(const bool primary)
{
  // Need at least two values to compute the Steffensen update, and the update is only performed
  // every other iteration as two evaluations of the coupled problem are necessary
  if (primary)
    return _fixed_point_it > 1 && (_fixed_point_it % 2 == 0);
  else
    return _main_fixed_point_it > 1 && (_main_fixed_point_it % 2 == 0);
}
 
void
SteffensenSolve::transformPostprocessors(const bool primary)
{
  Real relaxation_factor;
  const std::vector<PostprocessorName> * transformed_pps;
  std::vector<std::vector<PostprocessorValue>> * transformed_pps_values;
  if (primary)
  {
    relaxation_factor = _relax_factor;
    transformed_pps = &_transformed_pps;
    transformed_pps_values = &_transformed_pps_values;
  }
  else
  {
    relaxation_factor = _secondary_relaxation_factor;
    transformed_pps = &_secondary_transformed_pps;
    transformed_pps_values = &_secondary_transformed_pps_values;
  }
 
  // Relax postprocessors for the main application
  for (size_t i = 0; i < (*transformed_pps).size(); i++)
  {
    // Get new postprocessor value
    const Real current_value = getPostprocessorValueByName((*transformed_pps)[i]);
    const Real fxn_m1 = (*transformed_pps_values)[i][0];
    const Real xn_m1 = (*transformed_pps_values)[i][1];
 
    // Compute and set relaxed value
    Real new_value = current_value;
    if (!MooseUtils::absoluteFuzzyEqual(current_value + xn_m1 - 2 * fxn_m1, 0))
      new_value =
          xn_m1 - (fxn_m1 - xn_m1) * (fxn_m1 - xn_m1) / (current_value + xn_m1 - 2 * fxn_m1);
 
    // Relax update
    new_value = relaxation_factor * new_value + (1 - relaxation_factor) * fxn_m1;
 
    _problem.setPostprocessorValueByName((*transformed_pps)[i], new_value);
  }
}
 
void
SteffensenSolve::transformVariables(const std::set<dof_id_type> & transformed_dofs,
                                    const bool primary)
{
  Real relaxation_factor;
  TagID fxn_m1_tagid;
  TagID xn_m1_tagid;
  if (primary)
  {
    relaxation_factor = _relax_factor;
    fxn_m1_tagid = _fxn_m1_tagid;
    xn_m1_tagid = _xn_m1_tagid;
  }
  else
  {
    relaxation_factor = _secondary_relaxation_factor;
    fxn_m1_tagid = _secondary_fxn_m1_tagid;
    xn_m1_tagid = _secondary_xn_m1_tagid;
  }
 
  NumericVector<Number> & solution = _transformed_sys->solution();
  NumericVector<Number> & fxn_m1 = _transformed_sys->getVector(fxn_m1_tagid);
  NumericVector<Number> & xn_m1 = _transformed_sys->getVector(xn_m1_tagid);
 
  for (const auto & dof : transformed_dofs)
  {
    // Avoid 0 denominator issue
    Real new_value = solution(dof);
    if (!MooseUtils::absoluteFuzzyEqual(solution(dof) + xn_m1(dof) - 2 * fxn_m1(dof), 0))
      new_value = xn_m1(dof) - (fxn_m1(dof) - xn_m1(dof)) * (fxn_m1(dof) - xn_m1(dof)) /
                                   (solution(dof) + xn_m1(dof) - 2 * fxn_m1(dof));
 
    // Relax update
    new_value = relaxation_factor * new_value + (1 - relaxation_factor) * fxn_m1(dof);
 
    solution.set(dof, new_value);
  }
  solution.close();
  _transformed_sys->update();
}
 
void
SteffensenSolve::printFixedPointConvergenceHistory(
    const Real initial_norm,
    const std::vector<Real> & timestep_begin_norms,
    const std::vector<Real> & timestep_end_norms) const
{
  _console << "\n 0 Steffensen initialization |R| = "
           << Console::outputNorm(std::numeric_limits<Real>::max(), initial_norm) << '\n';
 
  Real max_norm_old = initial_norm;
  for (unsigned int i = 0; i <= _fixed_point_it; ++i)
  {
    Real max_norm = std::max(timestep_begin_norms[i], timestep_end_norms[i]);
    std::stringstream steffensen_prefix;
    if (i == 0)
      steffensen_prefix << " Steffensen initialization |R| = ";
    else if (i % 2 == 0)
      steffensen_prefix << " Steffensen half-step      |R| = ";
    else
      steffensen_prefix << " Steffensen step           |R| = ";
 
    _console << std::setw(2) << i + 1 << steffensen_prefix.str()
             << Console::outputNorm(max_norm_old, max_norm) << '\n';
 
    max_norm_old = max_norm;
  }
}