Homec4science
Diffusion tamaas (features/netcdf-mpi) Browse

tamaas/tests/test_saturated_pressure.py
0ec7072aaca3features/netcdf-mpi

Last Change
Raw File

test_saturated_pressure.py
View Options

#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# @author Valentine Rey <valentine.rey@epfl.ch>
#
# @section LICENSE
#
# Copyright (©) 2016 EPFL (Ecole Polytechnique Fédérale de
# Lausanne) Laboratory (LSMS - Laboratoire de Simulation en Mécanique des
# Solides)
#
# Tamaas 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.
#
# Tamaas 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 Tamaas. If not, see <http://www.gnu.org/licenses/>.
#
#
################################################################
from __future__ import print_function, division
import numpy as np
import tamaas as tm
def test_saturated_pressure():
tm.initialize()
grid_size = 256
load = 0.06
effective_modulus = 1.
p_sat = 0.4
do_plot = 1
SG = tm.SurfaceGeneratorFilterFFT()
SG.getGridSize().assign(grid_size)
SG.getHurst().assign(0.8)
SG.getRMS().assign(0.01)
SG.getQ0().assign(4)
SG.getQ1().assign(4)
SG.getQ2().assign(16)
SG.getRandomSeed().assign(2)
SG.Init()
surface = SG.buildSurface()
surface -= np.max(surface)
bem = tm.BemKato(surface)
bem.setDumpFreq(100)
bem.setEffectiveModulus(effective_modulus)
bem.setMaxPressure(p_sat)
bem.setMaxIterations(6000)
bem.computeEquilibrium(1e-12,load)
tractions = bem.getTractions()
true_displacements = bem.getTrueDisplacements()
true_gap = true_displacements-surface
mean_pressure_error = abs(np.mean(tractions)-load)/load
max_pressure_error = np.max(tractions)-p_sat
gaps = true_gap
gaps[np.where(tractions == p_sat)] = 0.
press = tractions
orthogonality_error = np.max(press*gaps) / (press.max() * gaps.max())
assert mean_pressure_error < 1e-12 and max_pressure_error < 1e-12 and \
orthogonality_error < 2e-10
tm.finalize()
if __name__ == "__main__":
test_saturated_pressure()
c4science · Help