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rAKA/examples/c++/solid_mechanics_model/static/static.cc
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/**
* Copyright (©) 2010-2023 EPFL (Ecole Polytechnique Fédérale de Lausanne)
* Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
*
* This file is part of Akantu
*
* 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.hh"
#include "solid_mechanics_model.hh"
/* -------------------------------------------------------------------------- */
using namespace akantu;
/* -------------------------------------------------------------------------- */
int main(int argc, char * argv[]) {
initialize("material.dat", argc, argv);
const Int spatial_dimension = 2;
Mesh mesh(spatial_dimension);
mesh.read("square.msh");
SolidMechanicsModel model(mesh);
/// model initialization
model.initFull(_analysis_method = _static);
/// configure dumper
model.setBaseName("static");
model.addDumpFieldVector("displacement");
model.addDumpField("external_force");
model.addDumpField("internal_force");
model.addDumpField("blocked_dofs");
model.addDumpField("grad_u");
model.addDumpField("stress");
/// Dirichlet boundary conditions
model.applyBC(BC::Dirichlet::FixedValue(0.0, _x), "Fixed_x");
model.applyBC(BC::Dirichlet::FixedValue(0.0, _y), "Fixed_y");
model.applyBC(BC::Dirichlet::FixedValue(0.0001, _x), "Displacement");
model.dump();
/// set the limits for the Newton-Raphson solver
auto & solver = model.getNonLinearSolver();
solver.set("max_iterations", 2);
solver.set("threshold", 2e-4);
solver.set("convergence_type", SolveConvergenceCriteria::_solution);
/// static solve
model.solveStep();
model.dump();
return 0;
}
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