AdvectionMatrixAssembler.h

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#pragma once
 
#include <Eigen/Core>
#include <limits>
#include <memory>
#include <vector>
 
#include "NumLib/Fem/ShapeMatrixCache.h"
#include "NumericalStabilization.h"
 
namespace NumLib
{
namespace detail
{
template <typename MeshElementType,
          typename IPData,
          typename FluxVectorType,
          typename Derived>
void assembleAdvectionMatrix(IPData const& ip_data_vector,
                             NumLib::ShapeMatrixCache const& shape_matrix_cache,
                             std::vector<FluxVectorType> const& ip_flux_vector,
                             Eigen::MatrixBase<Derived>& laplacian_matrix)
{
    auto const& Ns = shape_matrix_cache.NsHigherOrder<MeshElementType>();
 
    for (std::size_t ip = 0; ip < ip_flux_vector.size(); ++ip)
    {
        auto const& ip_data = ip_data_vector[ip];
        auto const w = ip_data.integration_weight;
        auto const& dNdx = ip_data.dNdx;
        auto const& N = Ns[ip];
        laplacian_matrix.noalias() +=
            (N.transpose() * ip_flux_vector[ip].transpose() * dNdx * w)
#if defined(__GNUC__) && (__GNUC__ == 14) && (__GNUC_MINOR__ == 2) && \
    (__GNUC_PATCHLEVEL__ == 1)
                .eval()
#endif
            ;
    }
}
void assembleAdvectionMatrix(IPData const& ip_data_vector, {…}
 
template <typename IPData, typename FluxVectorType, typename Derived>
void assembleAdvectionMatrix(IPData const& ip_data_vector,
                             std::vector<FluxVectorType> const& ip_flux_vector,
                             Eigen::MatrixBase<Derived>& laplacian_matrix)
{
    for (std::size_t ip = 0; ip < ip_flux_vector.size(); ++ip)
    {
        auto const& ip_data = ip_data_vector[ip];
        auto const w = ip_data.integration_weight;
        auto const& N = ip_data.N;
        auto const& dNdx = ip_data.dNdx;
        laplacian_matrix.noalias() +=
            N.transpose() * ip_flux_vector[ip].transpose() * dNdx * w;
    }
}
void assembleAdvectionMatrix(IPData const& ip_data_vector, {…}
 
template <typename Derived>
void applyFullUpwind(Eigen::VectorXd const& quasi_nodal_flux,
                     Eigen::MatrixBase<Derived>& laplacian_matrix)
{
    Eigen::VectorXd const down_mask =
        (quasi_nodal_flux.array() < 0).cast<double>();
    Eigen::VectorXd const down = quasi_nodal_flux.cwiseProduct(down_mask);
 
    double const q_in = -down.sum();
    if (q_in < std::numeric_limits<double>::epsilon())
    {
        return;
    }
 
    Eigen::VectorXd const up_mask =
        (quasi_nodal_flux.array() >= 0).cast<double>();
    Eigen::VectorXd const up = quasi_nodal_flux.cwiseProduct(up_mask);
 
    laplacian_matrix.diagonal().noalias() += up;
    laplacian_matrix.noalias() += down * up.transpose() / q_in;
}
void applyFullUpwind(Eigen::VectorXd const& quasi_nodal_flux, {…}
 
template <typename IPData, typename FluxVectorType, typename Derived>
void applyFullUpwind(IPData const& ip_data_vector,
                     std::vector<FluxVectorType> const& ip_flux_vector,
                     Eigen::MatrixBase<Derived>& laplacian_matrix)
{
    Eigen::VectorXd quasi_nodal_flux =
        Eigen::VectorXd::Zero(laplacian_matrix.rows());
 
    for (std::size_t ip = 0; ip < ip_flux_vector.size(); ++ip)
    {
        auto const& ip_data = ip_data_vector[ip];
        auto const w = ip_data.integration_weight;
        auto const& dNdx = ip_data.dNdx;
 
        quasi_nodal_flux.noalias() -= ip_flux_vector[ip].transpose() * dNdx * w;
    }
 
    applyFullUpwind(quasi_nodal_flux, laplacian_matrix);
}
void applyFullUpwind(IPData const& ip_data_vector, {…}
}  // namespace detail
 
template <typename MeshElementType,
          typename IPData,
          typename FluxVectorType,
          typename Derived>
void assembleAdvectionMatrix(NumericalStabilization const& stabilizer,
                             IPData const& ip_data_vector,
                             NumLib::ShapeMatrixCache const& shape_matrix_cache,
                             std::vector<FluxVectorType> const& ip_flux_vector,
                             double const average_velocity,
                             Eigen::MatrixBase<Derived>& laplacian_matrix)
{
    std::visit(
        [&](auto&& stabilizer)
        {
            using Stabilizer = std::decay_t<decltype(stabilizer)>;
            if constexpr (std::is_same_v<Stabilizer, FullUpwind>)
            {
                if (average_velocity > stabilizer.getCutoffVelocity())
                {
                    detail::applyFullUpwind(ip_data_vector, ip_flux_vector,
                                            laplacian_matrix);
                    return;
                }
            }
 
            detail::assembleAdvectionMatrix<MeshElementType>(
                ip_data_vector, shape_matrix_cache, ip_flux_vector,
                laplacian_matrix);
        },
        stabilizer);
}
void assembleAdvectionMatrix(NumericalStabilization const& stabilizer, {…}
 
template <typename IPData, typename FluxVectorType, typename Derived>
void assembleAdvectionMatrix(NumericalStabilization const& stabilizer,
                             IPData const& ip_data_vector,
                             std::vector<FluxVectorType> const& ip_flux_vector,
                             double const average_velocity,
                             Eigen::MatrixBase<Derived>& laplacian_matrix)
{
    std::visit(
        [&](auto&& stabilizer)
        {
            using Stabilizer = std::decay_t<decltype(stabilizer)>;
            if constexpr (std::is_same_v<Stabilizer, FullUpwind>)
            {
                if (average_velocity > stabilizer.getCutoffVelocity())
                {
                    detail::applyFullUpwind(ip_data_vector, ip_flux_vector,
                                            laplacian_matrix);
                    return;
                }
            }
 
            detail::assembleAdvectionMatrix(
                ip_data_vector, ip_flux_vector, laplacian_matrix);
        },
        stabilizer);
}
void assembleAdvectionMatrix(NumericalStabilization const& stabilizer, {…}
}  // namespace NumLib