Homec4science
Diffusion tamaas (features/netcdf-mpi) Browse

tamaas/tests/test_epic.py
6ae2bd3ffe92features/netcdf-mpi

Last Change
Raw File

test_epic.py
View Options

# -*- coding: utf-8 -*-
#
# Copyright (©) 2016-2021 EPFL (École Polytechnique Fédérale de Lausanne),
# Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program 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 Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
from __future__ import division, print_function
import pytest
from conftest import pkridfn
import tamaas as tm
from numpy.linalg import norm
from tamaas.nonlinear_solvers import DFSANESolver
@pytest.fixture(scope="module",
params=[tm.PolonskyKeerRey.pressure],
ids=pkridfn)
def model_setup(hertz_coarse, request):
models, solvers = [], []
for mtype in [tm.model_type.basic_2d, tm.model_type.volume_2d]:
dim = tm.type_traits[mtype].dimension
n = [hertz_coarse.n] * dim
d = [hertz_coarse.domain_size] * dim
if dim == 3:
n[0] = 2
d[0] = 0.001
model = tm.ModelFactory.createModel(mtype, d, n)
model.E, model.nu = hertz_coarse.e_star, 0
solver = tm.PolonskyKeerRey(model, hertz_coarse.surface, 1e-12,
request.param,
request.param)
models.append(model)
solvers.append(solver)
epsolver = DFSANESolver(tm.ModelFactory.createResidual(
model,
sigma_y=1e2 * model.E,
hardening=0
))
solvers[1] = tm.EPICSolver(solvers[1], epsolver, 1e-12)
for solver in solvers:
solver.solve(hertz_coarse.load)
return models, hertz_coarse
@pytest.mark.xfail(tm.TamaasInfo.backend == 'tbb',
reason='TBB reductions are unstable?')
def test_energy(model_setup):
"""Test the full elastic-plastic solve step in elasticity"""
# We use computed values from basic PKR to test
(model_elastic, model_plastic), hertz = model_setup
error = norm(
(model_plastic.traction[..., 2] - model_elastic.traction)
* (model_plastic.displacement[0, ..., 2] - model_elastic.displacement))
error /= norm(hertz.pressure * hertz.displacement)
assert error < 1e-16
c4science · Help