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python_material_linear_elastic_generic2_test.py
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python_material_linear_elastic_generic2_test.py
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#!/usr/bin/env python3
# -*- coding:utf-8 -*-
"""
@file python_material_linear_elastic_generic2_test.py
@author Till Junge <till.junge@epfl.ch>
@date 20 Dec 2018
@brief tests the bindings for the generic linear law with eigenstrains
Copyright © 2018 Till Junge
µSpectre is free software; you can redistribute it and/or
modify it under the terms of the GNU General Lesser Public License as
published by the Free Software Foundation, either version 3, or (at
your option) any later version.
µSpectre 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
General Public License for more details.
You should have received a copy of the GNU Lesser General Public License
along with µSpectre; see the file COPYING. If not, write to the
Free Software Foundation, Inc., 59 Temple Place - Suite 330,
Boston, MA 02111-1307, USA.
Additional permission under GNU GPL version 3 section 7
If you modify this Program, or any covered work, by linking or combining it
with proprietary FFT implementations or numerical libraries, containing parts
covered by the terms of those libraries' licenses, the licensors of this
Program grant you additional permission to convey the resulting work.
"""
import unittest
import numpy as np
from python_test_imports import µ
class MaterialLinearElasticGeneric2_Check(unittest.TestCase):
def setUp(self):
self.resolution = [3, 3]#[5,7]
self.lengths = [3., 3.]#[5.2, 8.3]
self.formulation = µ.Formulation.small_strain
self.cell1 = µ.Cell(self.resolution,
self.lengths,
self.formulation)
self.cell2 = µ.Cell(self.resolution,
self.lengths,
self.formulation)
E, nu = 210e9, .33
lam, mu = E*nu/((1+nu)*(1-2*nu)), E/(2*(1+nu))
C = np.array([[2 * mu + lam, lam, lam, 0, 0, 0],
[ lam, 2 * mu + lam, lam, 0, 0, 0],
[ lam, lam, 2 * mu + lam, 0, 0, 0],
[ 0, 0, 0, mu, 0, 0],
[ 0, 0, 0, 0, mu, 0],
[ 0, 0, 0, 0, 0, mu]])
self.mat1 = µ.material.MaterialLinearElasticGeneric1_2d.make(
self.cell1, "simple", C)
self.mat2 = µ.material.MaterialLinearElasticGeneric2_2d.make(
self.cell2, "eigen", C)
self.mat3 = µ.material.MaterialLinearElastic2_2d.make(
self.cell2, "eigen2", 120e9, .33)
def test_solve(self):
verbose_test = False
if verbose_test:
print("start test_solve")
grad = np.array([[1.1, .2],
[ .3, 1.5]])
gl_strain = -0.5*(grad.T.dot(grad) - np.eye(2))
gl_strain = -0.5*(grad.T + grad - 2*np.eye(2))
grad = -gl_strain
if verbose_test:
print("grad =\n{}\ngl_strain =\n{}".format(grad, gl_strain))
for i, pixel in enumerate(self.cell1):
self.mat1.add_pixel(pixel)
self.mat2.add_pixel(pixel, gl_strain)
self.cell1.initialise()
self.cell2.initialise()
tol = 1e-6
Del0_1 = grad
Del0_2 = np.zeros_like(grad)
maxiter = 2
verbose = 0
def solve(cell, grad):
solver=µ.solvers.SolverCG(cell, tol, maxiter, verbose)
r = µ.solvers.newton_cg(cell, grad,
solver, tol, tol, verbose)
return r
results = [solve(cell, del0) for (cell, del0)
in zip((self.cell1, self.cell2),
(Del0_1, Del0_2))]
P1 = results[0].stress
P2 = results[1].stress
error = np.linalg.norm(P1-P2)/np.linalg.norm(.5*(P1+P2))
if verbose_test:
print("cell 1, no eigenstrain")
print("P1:\n{}".format(P1[:,0]))
print("F1:\n{}".format(results[0].grad[:,0]))
print("cell 2, with eigenstrain")
print("P2:\n{}".format(P2[:,0]))
print("F2:\n{}".format(results[1].grad[:,0]))
print("end test_solve")
self.assertLess(error, tol)
if __name__ == '__main__':
unittest.main()

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