PFCRFFEnergyDensity.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 "PFCRFFEnergyDensity.h"
#include "libmesh/utility.h"
 
registerMooseObject("PhaseFieldApp", PFCRFFEnergyDensity);
 
InputParameters
PFCRFFEnergyDensity::validParams()
{
  InputParameters params = AuxKernel::validParams();
  params.addClassDescription(
      "Computes the crystal free energy density for the RFF form of the phase field crystal model");
  params.addRequiredCoupledVar("v", "Array of coupled variables");
  params.addParam<Real>("a", 1.0, "Modified coefficient in Taylor series expansion");
  params.addParam<Real>("b", 1.0, "Modified coefficient in Taylor series expansion");
  params.addParam<Real>("c", 1.0, "Modified coefficient in Taylor series expansion");
  params.addParam<unsigned int>(
      "num_exp_terms", 4, "Number of terms to use in the Taylor series expansion");
  MooseEnum log_options("tolerance cancelation expansion nothing");
  params.addRequiredParam<MooseEnum>(
      "log_approach", log_options, "Which approach will be used to handle the natural log");
  params.addParam<Real>("tol", 1.0e-9, "Tolerance used when the tolerance approach is chosen");
  return params;
}
 
PFCRFFEnergyDensity::PFCRFFEnergyDensity(const InputParameters & parameters)
  : AuxKernel(parameters),
    _order(coupledComponents("v")),
    _vals(coupledValues("v")),
    _a(getParam<Real>("a")),
    _b(getParam<Real>("b")),
    _c(getParam<Real>("c")),
    _num_exp_terms(getParam<unsigned int>("num_exp_terms")),
    _log_approach(getParam<MooseEnum>("log_approach")),
    _tol(getParam<Real>("tol"))
{
}
 
Real
PFCRFFEnergyDensity::computeValue()
{
  Real val = 0.0;
  switch (_log_approach)
  {
    case 0: // approach using tolerance
      if (1.0 + (*_vals[0])[_qp] < _tol)
        val += ((1.0 + _tol) * std::log(1 + _tol)) - _tol;
      else
        val += ((1.0 + (*_vals[0])[_qp]) * std::log(1 + (*_vals[0])[_qp])) - (*_vals[0])[_qp];
      break;
 
    case 1: // approach using cancellation
      val += ((1.0 + (*_vals[0])[_qp]) * std::log(1.0 + (*_vals[0])[_qp])) - (*_vals[0])[_qp];
      break;
 
    case 2: // approach using Taylor Series Expansion
      Real coef = 1.0;
 
      for (unsigned int i = 2; i < (2 + _num_exp_terms); i++)
      {
        if (i == 2)
          coef = _c;
        else if (i == 3)
          coef = _a;
        else if (i == 4)
          coef = _b;
        else
          coef = 1.0;
 
        val +=
            coef * (std::pow(-1.0, Real(i)) / (i * (i - 1))) * std::pow((*_vals[0])[_qp], Real(i));
      }
      break;
  }
 
  // Loop Through Variables
  Real sumL = 0.0;
  for (unsigned int i = 1; i < _order; ++i)
    sumL += (*_vals[i])[_qp] * 0.5;
 
  val -= ((*_vals[0])[_qp] * sumL);
 
  return val;
}