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rAKA/src/model/time_step_solvers/time_step_solver_default.cc
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time_step_solver_default.cc
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/**
* @file time_step_solver_default.cc
*
* @author Nicolas Richart <nicolas.richart@epfl.ch>
*
* @date creation: Tue Sep 15 2015
* @date last modification: Wed Feb 21 2018
*
* @brief Default implementation of the time step solver
*
* @section LICENSE
*
* Copyright (©) 2015-2018 EPFL (Ecole Polytechnique Fédérale de Lausanne)
* Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
*
* Akantu is free software: you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License as published by the Free
* Software Foundation, either version 3 of the License, or (at your option) any
* later version.
*
* Akantu is distributed in the hope that it will be useful, but WITHOUT ANY
* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
* A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
* details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with Akantu. If not, see <http://www.gnu.org/licenses/>.
*
*/
/* -------------------------------------------------------------------------- */
#include "time_step_solver_default.hh"
#include "dof_manager_default.hh"
#include "integration_scheme_1st_order.hh"
#include "integration_scheme_2nd_order.hh"
#include "mesh.hh"
#include "non_linear_solver.hh"
#include "pseudo_time.hh"
#include "sparse_matrix_aij.hh"
/* -------------------------------------------------------------------------- */
namespace akantu {
/* -------------------------------------------------------------------------- */
TimeStepSolverDefault::TimeStepSolverDefault(
DOFManagerDefault & dof_manager, const TimeStepSolverType & type,
NonLinearSolver & non_linear_solver, SolverCallback & solver_callback,
const ID & id, UInt memory_id)
: TimeStepSolver(dof_manager, type, non_linear_solver, solver_callback, id,
memory_id),
dof_manager(dof_manager), is_mass_lumped(false) {
switch (type) {
case _tsst_dynamic:
break;
case _tsst_dynamic_lumped:
this->is_mass_lumped = true;
break;
case _tsst_static:
/// initialize a static time solver for callback dofs
break;
default:
AKANTU_TO_IMPLEMENT();
}
}
/* -------------------------------------------------------------------------- */
void TimeStepSolverDefault::setIntegrationSchemeInternal(
const ID & dof_id, const IntegrationSchemeType & type,
IntegrationScheme::SolutionType solution_type) {
if (this->integration_schemes.find(dof_id) !=
this->integration_schemes.end()) {
AKANTU_EXCEPTION("Their DOFs "
<< dof_id
<< " have already an integration scheme associated");
}
std::unique_ptr<IntegrationScheme> integration_scheme;
if (this->is_mass_lumped) {
switch (type) {
case _ist_forward_euler: {
integration_scheme = std::make_unique<ForwardEuler>(dof_manager, dof_id);
break;
}
case _ist_central_difference: {
integration_scheme =
std::make_unique<CentralDifference>(dof_manager, dof_id);
break;
}
default:
AKANTU_EXCEPTION(
"This integration scheme cannot be used in lumped dynamic");
}
} else {
switch (type) {
case _ist_pseudo_time: {
integration_scheme = std::make_unique<PseudoTime>(dof_manager, dof_id);
break;
}
case _ist_forward_euler: {
integration_scheme = std::make_unique<ForwardEuler>(dof_manager, dof_id);
break;
}
case _ist_trapezoidal_rule_1: {
integration_scheme =
std::make_unique<TrapezoidalRule1>(dof_manager, dof_id);
break;
}
case _ist_backward_euler: {
integration_scheme = std::make_unique<BackwardEuler>(dof_manager, dof_id);
break;
}
case _ist_central_difference: {
integration_scheme =
std::make_unique<CentralDifference>(dof_manager, dof_id);
break;
}
case _ist_fox_goodwin: {
integration_scheme = std::make_unique<FoxGoodwin>(dof_manager, dof_id);
break;
}
case _ist_trapezoidal_rule_2: {
integration_scheme =
std::make_unique<TrapezoidalRule2>(dof_manager, dof_id);
break;
}
case _ist_linear_acceleration: {
integration_scheme =
std::make_unique<LinearAceleration>(dof_manager, dof_id);
break;
}
case _ist_generalized_trapezoidal: {
integration_scheme =
std::make_unique<GeneralizedTrapezoidal>(dof_manager, dof_id);
break;
}
case _ist_newmark_beta:
integration_scheme = std::make_unique<NewmarkBeta>(dof_manager, dof_id);
break;
}
}
AKANTU_DEBUG_ASSERT(integration_scheme,
"No integration scheme was found for the provided types");
auto && matrices_names = integration_scheme->getNeededMatrixList();
for (auto && name : matrices_names) {
needed_matrices.insert({name, _mt_not_defined});
}
this->integration_schemes[dof_id] = std::move(integration_scheme);
this->solution_types[dof_id] = solution_type;
this->integration_schemes_owner.insert(dof_id);
}
/* -------------------------------------------------------------------------- */
bool TimeStepSolverDefault::hasIntegrationScheme(const ID & dof_id) const {
return this->integration_schemes.find(dof_id) !=
this->integration_schemes.end();
}
/* -------------------------------------------------------------------------- */
TimeStepSolverDefault::~TimeStepSolverDefault() = default;
/* -------------------------------------------------------------------------- */
void TimeStepSolverDefault::solveStep(SolverCallback & solver_callback) {
this->solver_callback = &solver_callback;
this->solver_callback->beforeSolveStep();
this->non_linear_solver.solve(*this);
this->solver_callback->afterSolveStep();
this->solver_callback = nullptr;
}
/* -------------------------------------------------------------------------- */
void TimeStepSolverDefault::predictor() {
TimeStepSolver::predictor();
for (auto && pair : this->integration_schemes) {
const auto & dof_id = pair.first;
auto & integration_scheme = pair.second;
if (this->dof_manager.hasPreviousDOFs(dof_id)) {
this->dof_manager.savePreviousDOFs(dof_id);
}
/// integrator predictor
integration_scheme->predictor(this->time_step);
}
}
/* -------------------------------------------------------------------------- */
void TimeStepSolverDefault::corrector() {
AKANTU_DEBUG_IN();
TimeStepSolver::corrector();
for (auto & pair : this->integration_schemes) {
auto & dof_id = pair.first;
auto & integration_scheme = pair.second;
const auto & solution_type = this->solution_types[dof_id];
integration_scheme->corrector(solution_type, this->time_step);
/// computing the increment of dof if needed
if (this->dof_manager.hasDOFsIncrement(dof_id)) {
if (!this->dof_manager.hasPreviousDOFs(dof_id)) {
AKANTU_DEBUG_WARNING("In order to compute the increment of "
<< dof_id << " a 'previous' has to be registered");
continue;
}
Array<Real> & increment = this->dof_manager.getDOFsIncrement(dof_id);
Array<Real> & previous = this->dof_manager.getPreviousDOFs(dof_id);
UInt dof_array_comp = this->dof_manager.getDOFs(dof_id).getNbComponent();
increment.copy(this->dof_manager.getDOFs(dof_id));
for (auto && data : zip(make_view(increment, dof_array_comp),
make_view(previous, dof_array_comp))) {
std::get<0>(data) -= std::get<1>(data);
}
}
}
AKANTU_DEBUG_OUT();
}
/* -------------------------------------------------------------------------- */
void TimeStepSolverDefault::assembleMatrix(const ID & matrix_id) {
AKANTU_DEBUG_IN();
TimeStepSolver::assembleMatrix(matrix_id);
if (matrix_id != "J")
return;
for (auto & pair : this->integration_schemes) {
auto & dof_id = pair.first;
auto & integration_scheme = pair.second;
const auto & solution_type = this->solution_types[dof_id];
integration_scheme->assembleJacobian(solution_type, this->time_step);
}
this->dof_manager.applyBoundary("J");
AKANTU_DEBUG_OUT();
}
/* -------------------------------------------------------------------------- */
void TimeStepSolverDefault::assembleResidual() {
if (this->needed_matrices.find("M") != needed_matrices.end()) {
if (this->is_mass_lumped) {
this->assembleLumpedMatrix("M");
} else {
this->assembleMatrix("M");
}
}
TimeStepSolver::assembleResidual();
for (auto && pair : this->integration_schemes) {
auto & integration_scheme = pair.second;
integration_scheme->assembleResidual(this->is_mass_lumped);
}
}
/* -------------------------------------------------------------------------- */
void TimeStepSolverDefault::assembleResidual(const ID & residual_part) {
AKANTU_DEBUG_IN();
if (this->needed_matrices.find("M") != needed_matrices.end()) {
if (this->is_mass_lumped) {
this->assembleLumpedMatrix("M");
} else {
this->assembleMatrix("M");
}
}
if (residual_part != "inertial") {
TimeStepSolver::assembleResidual(residual_part);
}
if (residual_part == "inertial") {
for (auto & pair : this->integration_schemes) {
auto & integration_scheme = pair.second;
integration_scheme->assembleResidual(this->is_mass_lumped);
}
}
AKANTU_DEBUG_OUT();
}
/* -------------------------------------------------------------------------- */
} // namespace akantu
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