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tamaas/examples/legacy/contact.py
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contact.py
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#!/usr/bin/python
# -*- coding: utf-8 -*-
##
#
# @author Guillaume Anciaux <guillaume.anciaux@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/>.
#
#
################################################################
def plotSurface(surf):
fig = plt.figure()
axe = fig.add_subplot(111)
img = axe.imshow(surf)
cbar = fig.colorbar(img)
################################################################
# surface generation
################################################################
from tamaas import *
SG = SurfaceGeneratorFilterFFT()
SG.getGridSize().assign(128)
SG.getHurst().assign(0.8)
SG.getRMS().assign(1.);
SG.getQ0().assign(4);
SG.getQ1().assign(4);
SG.getQ2().assign(64);
SG.getRandomSeed().assign(20);
SG.Init()
s = SG.buildSurface()
rms_slopes_spectral = SurfaceStatistics.computeSpectralRMSSlope(s)
s *= 1./rms_slopes_spectral
s -= s.max()
################################################################
# surface plot
################################################################
import matplotlib.pyplot as plt
fig1 = plotSurface(s)
################################################################
# contact contact
################################################################
bem = BemPolonski(s)
bem.setEffectiveModulus(1.)
load = 0.1
bem.computeEquilibrium(1e-13,load)
tractions = bem.getTractions()
displacements = bem.getDisplacements()
fig2 = plotSurface(tractions)
fig3 = plotSurface(displacements)
plt.show()
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