INSFVAdvectionKernel.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 "INSFVAdvectionKernel.h"
#include "NS.h"
#include "MooseVariableFV.h"
#include "RelationshipManager.h"
#include "NSFVUtils.h"
#include "FVBoundaryScalarLagrangeMultiplierConstraint.h"
#include "Limiter.h"
#include "Steady.h"
 
InputParameters
INSFVAdvectionKernel::validParams()
{
  InputParameters params = FVFluxKernel::validParams();
  params += Moose::FV::interpolationParameters();
  params.addRequiredParam<UserObjectName>("rhie_chow_user_object", "The rhie-chow user-object");
  // We need 2 ghost layers for the Rhie-Chow interpolation
  params.set<unsigned short>("ghost_layers") = 2;
 
  // We currently do not have a need for this, boundary conditions tell us where to execute
  // advection kernels
  params.suppressParameter<bool>("force_boundary_execution");
 
  // We add the relationship manager here, this will select the right number of
  // ghosting layers depending on the chosen interpolation method
  params.addRelationshipManager(
      "ElementSideNeighborLayers",
      Moose::RelationshipManagerType::GEOMETRIC | Moose::RelationshipManagerType::ALGEBRAIC |
          Moose::RelationshipManagerType::COUPLING,
      [](const InputParameters & obj_params, InputParameters & rm_params)
      { FVRelationshipManagerInterface::setRMParamsAdvection(obj_params, rm_params, 3); });
 
  return params;
}
 
INSFVAdvectionKernel::INSFVAdvectionKernel(const InputParameters & params)
  : FVFluxKernel(params),
    _rc_vel_provider(getUserObject<RhieChowInterpolatorBase>("rhie_chow_user_object"))
{
  const bool need_more_ghosting =
      Moose::FV::setInterpolationMethods(*this, _advected_interp_method, _velocity_interp_method);
  if (need_more_ghosting && _tid == 0)
  {
    // If we need more ghosting, then we are a second-order nonlinear limiting scheme whose stencil
    // is liable to change upon wind-direction change. Consequently we need to tell our problem that
    // it's ok to have new nonzeros which may crop-up after PETSc has shrunk the matrix memory
    getCheckedPointerParam<FEProblemBase *>("_fe_problem_base")
        ->setErrorOnJacobianNonzeroReallocation(false);
  }
 
  auto param_check = [&params, this](const auto & param_name)
  {
    if (params.isParamSetByUser(param_name))
      paramError(
          param_name, "This parameter is not honored by INSFVAdvectionKernels like '", name(), "'");
  };
 
  param_check("force_boundary_execution");
 
  if (_var.getTwoTermBoundaryExpansion() &&
      !(_advected_interp_method == Moose::FV::InterpMethod::Upwind ||
        _advected_interp_method == Moose::FV::InterpMethod::Average ||
        _advected_interp_method == Moose::FV::InterpMethod::HarmonicAverage ||
        _advected_interp_method == Moose::FV::InterpMethod::SkewCorrectedAverage))
    mooseWarning(
        "Second order upwind limiting is not supported when `two_term_boundary_expansion "
        "= true` for the limited variable. Use at your own risk or please consider "
        "setting `two_term_boundary_expansion = false` in the advected variable parameters or "
        "changing your "
        "'advected_interp_method' of the kernel to first order methods (`upwind`, `average`)");
 
  if (dynamic_cast<Steady *>(_app.getExecutioner()))
  {
    const MooseEnum not_available_with_steady("sou min_mod vanLeer quick venkatakrishnan");
    const std::string chosen_scheme =
        static_cast<std::string>(getParam<MooseEnum>("advected_interp_method"));
    if (not_available_with_steady.find(chosen_scheme) != not_available_with_steady.items().end())
      paramError("advected_interp_method",
                 "The given advected interpolation cannot be used with steady-state runs!");
  }
}
 
void
INSFVAdvectionKernel::initialSetup()
{
  INSFVBCInterface::initialSetup(*this);
}
 
bool
INSFVAdvectionKernel::skipForBoundary(const FaceInfo & fi) const
{
  // Boundaries to avoid come first, since they are always obeyed
  if (avoidBoundary(fi))
    return true;
 
  // We get this to check if we are on a kernel boundary or not
  const bool on_boundary = onBoundary(fi);
 
  // We are either on a kernel boundary or on an internal sideset
  // which is handled as a boundary
  if (on_boundary || !fi.boundaryIDs().empty())
  {
    // Selected boundaries to force
    for (const auto bnd_to_force : _boundaries_to_force)
      if (fi.boundaryIDs().count(bnd_to_force))
        return false;
 
    // If we have flux bcs then we do skip
    const auto & [have_flux_bcs, flux_bcs] = _var.getFluxBCs(fi);
    libmesh_ignore(have_flux_bcs);
    for (const auto * const flux_bc : flux_bcs)
      // If we have something like an average-value pressure constraint on a flow boundary, then we
      // still want to execute this advection kernel on the boundary to ensure we're enforcing local
      // conservation (mass in this example)
      if (!dynamic_cast<const FVBoundaryScalarLagrangeMultiplierConstraint *>(flux_bc))
        return true;
 
    // If we have a flow boundary without a replacement flux BC, then we must not skip. Mass and
    // momentum are transported via advection across boundaries
    for (const auto bc_id : fi.boundaryIDs())
      if (_flow_boundaries.find(bc_id) != _flow_boundaries.end())
        return false;
  }
 
  // If not a flow boundary, then there should be no advection/flow in the normal direction, e.g. we
  // should not contribute any advective flux. If we are on an internal face though, we still
  // execute.
  return on_boundary;
}