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tamaas/tests/test_bem_grid.py
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test_bem_grid.py
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#!/usr/bin/env python
# coding: utf-8
# -----------------------------------------------------------------------------
# @author Lucas Frérot <lucas.frerot@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
import sys
import tamaas as tm
import numpy as np
from numpy.linalg import norm
from numpy.fft import fft2, ifft2
def make_profile(f, profile, k):
x = np.linspace(0, 1, profile.shape[0], endpoint=False)
y = np.linspace(0, 1, profile.shape[1], endpoint=False)
x, y = np.meshgrid(x, y)
profile[:, :] = f(2*k*np.pi*y)
def sin_profile(profile, k):
make_profile(np.sin, profile, k)
def cos_profile(profile, k):
make_profile(np.cos, profile, k)
def main():
"""Checking that all the pipes are clean"""
tm.initialize(1)
size = 128
k = 1
E = 0.91
nu = 0.3
mu = E / (2*(1+nu))
pressure = np.zeros((size, size))
surface = np.zeros((size, size))
westergaard_disp = np.zeros((size, size))
cos_profile(pressure, k)
cos_profile(surface, k)
bem = tm.BemGridPolonski(surface)
bem.setElasticity(E, nu)
bem.computeInfluence()
bem.getTractions()[:, :, 2] = pressure[:, :]
bem.computeDisplacementsFromTractions()
displacements = bem.getDisplacements()
# Constructing vertical displacement solution
cos_profile(westergaard_disp, k)
westergaard_disp *= (1-nu**2)/(E*np.pi*k)
westergaard_norm = (1-nu**2)/(E*np.pi*k)*np.sqrt(0.5) * size
# Computing error
error = norm(displacements[:, :, 2] - westergaard_disp)/westergaard_norm
if error > 1e-10:
print("Error in normal displacement: {}".format(error))
tm.finalize()
return 1
# Constructing horizontal displacement solution
sin_profile(westergaard_disp, k)
westergaard_disp *= (2*nu-1)/(4*np.pi*k*mu)
westergaard_norm = np.abs(2*nu-1)/(4*np.pi*k*mu)*np.sqrt(0.5)*size
error = norm(displacements[:, :, 1] - westergaard_disp)/westergaard_norm
if error > 1e-10:
print("Error in horizontal displacement: {}".format(error))
tm.finalize()
return 1
# Looking at normal vectors
normals = np.zeros((size, size, 3))
normals_norm = np.zeros((size, size, 3))
sin_profile(normals[:, :, 1], k)
normals[:, :, 1] *= 2*np.pi*k
normals[:, :, 2] = 1
x = np.linspace(0, 1, size, endpoint=False)
y = np.linspace(0, 1, size, endpoint=False)
x, y = np.meshgrid(x, y)
normals_norm[:, :, 0] = np.sqrt(1+4*np.pi**2*k**2*np.sin(2*np.pi*k*y)**2)
normals_norm[:, :, 1] = np.sqrt(1+4*np.pi**2*k**2*np.sin(2*np.pi*k*y)**2)
normals_norm[:, :, 2] = np.sqrt(1+4*np.pi**2*k**2*np.sin(2*np.pi*k*y)**2)
normals /= normals_norm
bem.computeSurfaceNormals()
bem_normals = bem.getSurfaceNormals()
error = norm(bem_normals - normals)
if error > 1e-9:
print("Error in surface normals: {}".format(error))
tm.finalize()
return 1
tm.finalize()
return 0
if __name__ == "__main__":
sys.exit(main())
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