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rAKA/src/model/non_linear_solver_default.cc
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non_linear_solver_default.cc
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/**
* @file non_linear_solver_default.cc
*
* @author Nicolas Richart <nicolas.richart@epfl.ch>
*
* @date Tue Aug 25 00:57:00 2015
*
* @brief Implementation of the default NonLinearSolver
*
* @section LICENSE
*
* Copyright (©) 2010-2011 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 "non_linear_solver_default.hh"
#include "dof_manager_default.hh"
#include "solver_callback.hh"
/* -------------------------------------------------------------------------- */
__BEGIN_AKANTU__
/* -------------------------------------------------------------------------- */
NonLinearSolverDefault::NonLinearSolverDefault(
DOFManagerDefault & dof_manager,
const NonLinearSolverType & non_linear_solver_type, const ID & id,
UInt memory_id)
: NonLinearSolver(dof_manager, non_linear_solver_type, id, memory_id),
dof_manager(dof_manager),
solver(dof_manager, "jacobian", id + ":sparse_solver", memory_id),
convergence_criteria_type(_scc_solution), convergence_criteria(1e-10),
max_iterations(10), n_iter(0), error(0.), converged(false) {}
/* -------------------------------------------------------------------------- */
NonLinearSolverDefault::~NonLinearSolverDefault() {}
/* ------------------------------------------------------------------------ */
void NonLinearSolverDefault::solve() {
// EventManager::sendEvent(NonLinearSolver::BeforeNonLinearSolverSolve(method));
switch (this->non_linear_solver_type) {
case _nls_linear:
case _nls_newton_raphson:
break;
case _nls_newton_raphson_modified:
this->dof_manager.getSolverCallback().assembleJacobian();
break;
default:
AKANTU_DEBUG_ERROR("The resolution method "
<< this->non_linear_solver_type
<< " has not been implemented!");
}
this->n_iter = 0;
this->converged = false;
if (this->convergence_criteria_type == _scc_residual) {
this->converged = this->testConvergence(this->dof_manager.getResidual());
if (this->converged) return;
}
do {
if (this->non_linear_solver_type == _nls_newton_raphson)
this->dof_manager.getSolverCallback().assembleJacobian();
this->solver.solve();
// EventManager::sendEvent(NonLinearSolver::AfterSparseSolve(method));
if (this->convergence_criteria_type == _scc_residual) {
this->dof_manager.getSolverCallback().assembleResidual();
this->converged = this->testConvergence(this->dof_manager.getResidual());
} else {
this->converged = this->testConvergence(this->dof_manager.getSolution());
}
if (this->convergence_criteria_type == _scc_solution && !this->converged)
this->dof_manager.getSolverCallback().assembleResidual();
// this->dump();
this->n_iter++;
AKANTU_DEBUG_INFO(
"[" << this->convergence_criteria_type << "] Convergence iteration "
<< std::setw(std::log10(this->max_iterations)) << this->n_iter
<< ": error " << this->error << (this->converged ? " < " : " > ")
<< this->convergence_criteria);
} while (!this->converged && this->n_iter < this->max_iterations);
// this makes sure that you have correct strains and stresses after the
// solveStep function (e.g., for dumping)
if (this->convergence_criteria_type == _scc_solution)
this->dof_manager.getSolverCallback().assembleResidual();
if (this->converged) {
// EventManager::sendEvent(
// SolidMechanicsModelEvent::AfterNonLinearSolverSolves(method));
} else if (this->n_iter == this->max_iterations) {
AKANTU_DEBUG_WARNING("[" << this->convergence_criteria_type
<< "] Convergence not reached after "
<< std::setw(std::log10(this->max_iterations))
<< this->n_iter << " iteration"
<< (this->n_iter == 1 ? "" : "s") << "!"
<< std::endl);
}
return;
}
/* -------------------------------------------------------------------------- */
void NonLinearSolverDefault::setParameters(
const ParserSection & parameters_section) {}
/* -------------------------------------------------------------------------- */
bool NonLinearSolverDefault::testConvergence(const Array<Real> & array) {
AKANTU_DEBUG_IN();
const Array<bool> & blocked_dofs = this->dof_manager.getBlockedDOFs();
UInt nb_degree_of_freedoms = array.getSize();
Array<Real>::const_scalar_iterator arr_it = array.begin();
Array<bool>::const_scalar_iterator bld_it = blocked_dofs.begin();
Real norm = 0.;
for (UInt n = 0; n < nb_degree_of_freedoms; ++n, ++arr_it, ++bld_it) {
bool is_local_node = this->dof_manager.isLocalOrMasterDOF(n);
if(!(*bld_it) && is_local_node) {
norm += *arr_it * *arr_it;
}
}
StaticCommunicator::getStaticCommunicator().allReduce(&norm, 1, _so_sum);
norm = std::sqrt(norm);
AKANTU_DEBUG_ASSERT(!Math::isnan(norm), "Something goes wrong in the solve phase");
this->error = norm;
return (error < this->convergence_criteria);
}
/* -------------------------------------------------------------------------- */
__END_AKANTU__
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