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tamaas/tests/conftest.py
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conftest.py
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# -*- coding: utf-8 -*-
#
# Copyright (©) 2016-2024 EPFL (École Polytechnique Fédérale de Lausanne),
# Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
# Copyright (©) 2020-2024 Lucas Frérot
#
# 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 subprocess
import sys
from functools import reduce
from operator import mul as multiply
import numpy as np
import pytest
from numpy.linalg import norm
try:
import tamaas as tm
except ModuleNotFoundError as e:
print(e, file=sys.stderr)
print("Use 'scons test' to run tests", file=sys.stderr)
sys.exit(1)
type_list = [
tm.model_type.basic_1d, tm.model_type.basic_2d, tm.model_type.surface_1d,
tm.model_type.surface_2d, tm.model_type.volume_1d, tm.model_type.volume_2d
]
def get_libtamaas_file():
try:
ldd_out = bytes(subprocess.check_output(['ldd', tm._tamaas.__file__]))
for line in filter(lambda x: 'Tamaas' in x,
ldd_out.decode().split('\n')):
path = line.split(' => ')[1]
return path.split(' ')[0]
return "static link"
except subprocess.CalledProcessError:
return "N/A"
def pytest_report_header(config):
print('tamaas build type: {}\nmodule file: {}\nwrapper: {}\nlibTamaas: {}'.
format(tm.TamaasInfo.build_type, tm.__file__, tm._tamaas.__file__,
get_libtamaas_file()))
def pytest_addoption(parser):
parser.addoption('--log-debug', action='store_true', default=False)
def mtidfn(val):
return str(val).split('.')[-1]
def pkridfn(val):
# return {
# tm.PolonskyKeerRey.pressure: "pkr_pressure",
# tm.PolonskyKeerRey.gap: "pkr_gap"
# }[val]
return {
True: "periodic",
False: "nonperiodic",
}[val]
def profile(func, domain, N, modes, amplitude):
coords = [
np.linspace(0, d, n, endpoint=False, dtype=tm.dtype)
for n, d in zip(N, domain)
]
coords = np.meshgrid(*coords, indexing='ij')
sines = [func(2 * np.pi * x * m) for x, m in zip(coords, modes)]
return reduce(multiply, [amplitude] + sines)
@pytest.fixture(scope='session', autouse=True)
def log_level(pytestconfig):
if pytestconfig.option.log_debug:
tm.set_log_level(tm.LogLevel.debug)
class HertzFixture:
def __init__(self, n, load):
self.domain_size = 1
self.n = n
self.load = load
self.curvature = 0.1
self.radius = 1. / self.curvature
self.e_star = 1.
self.a = (3 * load / (4 * self.curvature * self.e_star))**(1. / 3.)
self.x = np.linspace(-self.domain_size / 2.,
self.domain_size / 2.,
self.n,
dtype=tm.dtype)
self.y = self.x.copy()
self.x, self.y = np.meshgrid(self.x, self.y)
self._computeSurface()
self._computePressure()
self._computeDisplacement()
def _computeDisplacement(self):
r = np.sqrt(self.x**2 + self.y**2)
self.displacement = np.zeros_like(r)
contact = r < self.a
self.displacement[contact] = self.surface[contact]
self.displacement[~contact] = \
(self.surface[~contact]
+ self.a / (np.pi * self.radius) * np.sqrt(r[~contact]**2
- self.a**2)
+ (r[~contact]**2 - 2 * self.a**2) / (np.pi * self.radius)
* np.arccos(self.a / r[~contact]))
def _computePressure(self):
r = np.sqrt(self.x**2 + self.y**2)
self.pressure = np.zeros_like(r)
contact = np.where(r < self.a)
self.pressure[contact] = \
2 * self.e_star / (np.pi * self.radius) \
* np.sqrt(self.a**2 - r[contact]**2)
def _computeSurface(self):
self.surface = -1. / (2 * self.radius) * (self.x**2 + self.y**2)
@pytest.fixture(scope="package")
def hertz():
return HertzFixture(1024, 0.00001)
@pytest.fixture(scope="package")
def hertz_coarse():
return HertzFixture(512, 0.0001)
@pytest.fixture(scope="package",
params=[True, False],
ids=pkridfn)
def pkr(hertz, request):
model = tm.ModelFactory.createModel(tm.model_type.basic_2d,
[hertz.domain_size, hertz.domain_size],
[hertz.n, hertz.n])
model.E, model.nu = hertz.e_star, 0
vartype = tm.PolonskyKeerRey.pressure
periodic = request.param
solver = tm.PolonskyKeerRey(model, hertz.surface, 1e-12, vartype, vartype)
solver.solve(hertz.load)
if not periodic:
tm.ModelFactory.registerNonPeriodic(model, "dcfft")
solver.setIntegralOperator('dcfft')
return model, hertz
class WestergaardFixture:
def __init__(self, n, load, e_star):
self.domain_size = 1.
self.lamda = 1.
self.delta = 0.1
self.e_star = e_star
self.n = n
self.p_star = np.pi * self.e_star * self.delta / self.lamda
self.load = load * self.p_star
self.a = self.lamda / np.pi \
* np.arcsin(np.sqrt(self.load / self.p_star))
self.x = np.linspace(-self.domain_size / 2.,
self.domain_size / 2.,
self.n,
endpoint=False,
dtype=tm.dtype)
self._computeSurface()
self._computePressure()
self._computeDisplacement()
def _computeSurface(self):
self.surface = self.delta * np.cos(2 * np.pi * self.x / self.lamda)
def _computePressure(self):
self.pressure = np.zeros_like(self.surface)
contact = np.where(np.abs(self.x) < self.a)
self.pressure[contact] = 2 * self.load \
* (np.cos(np.pi * self.x[contact] / self.lamda)
/ np.sin(np.pi * self.a / self.lamda)**2) \
* np.sqrt(np.sin(np.pi * self.a / self.lamda)**2 -
np.sin(np.pi * self.x[contact] / self.lamda)**2)
def _computeDisplacement(self):
psi = np.pi * np.abs(self.x) / self.lamda
psi_a = np.pi * self.a / self.lamda
with np.errstate(invalid='ignore'): # get some warnings out of the way
self.displacement = (
np.cos(2 * psi) +
2 * np.sin(psi) * np.sqrt(np.sin(psi)**2 - np.sin(psi_a)**2) -
2 * np.sin(psi_a)**2 * np.log(
(np.sin(psi) + np.sqrt(np.sin(psi)**2 - np.sin(psi_a)**2))
/ np.sin(psi_a)))
contact = np.where(np.abs(self.x) < self.a)
self.displacement[contact] = np.cos(2 * psi[contact])
self.displacement *= self.load * self.lamda / (np.pi * self.e_star *
np.sin(psi_a)**2)
@pytest.fixture(scope="package")
def westergaard():
return WestergaardFixture(19683, 0.1, 1.0)
class PatchWestergaard:
def __init__(self, model_type):
dim = tm.type_traits[model_type].dimension
bdim = tm.type_traits[model_type].boundary_dimension
domain = [1.] * dim
size = [6] * dim
self.modes = np.random.randint(1, 3, (bdim, ))
self.model = tm.ModelFactory.createModel(model_type, domain, size)
self.model.E = 3.
self.model.nu = 0.
self.pressure = profile(np.cos, self.model.boundary_system_size,
self.model.boundary_shape, self.modes, 1)
self.solution = profile(
np.cos, self.model.boundary_system_size, self.model.boundary_shape,
self.modes, 1 / (np.pi * self.model.E_star * norm(self.modes)))
@pytest.fixture(scope="package",
params=set(type_list) - {tm.model_type.volume_1d},
ids=mtidfn)
def patch_westergaard(request):
return PatchWestergaard(request.param)
class UniformPlasticity:
def __init__(self, model_type, domain, sizes):
self.n = sizes
self.domain = domain
self.model = tm.ModelFactory.createModel(model_type, domain, sizes)
self.E_h = 0.1
self.sigma_y = 0.01
self.mat = tm.materials.IsotropicHardening(self.model,
sigma_y=self.sigma_y,
hardening=self.E_h)
self.residual = tm.Residual(self.model, self.mat)
self.model.E = 1.
self.model.nu = 0.
def solution(self, p):
E, nu = self.model.E, self.model.nu
E_h, sigma_y = self.E_h, self.sigma_y
mu = E / (2 * (1 + nu))
strain = -1 / (mu + E_h) * (p * (3 * mu + E_h) /
(2 * mu) - np.sign(p) * sigma_y)
dep = (2 * mu * np.abs(strain) - sigma_y) / (3 * mu + E_h)
plastic_strain = np.sign(strain) / 2 * dep * np.array([
-1,
-1,
2,
0,
0,
0,
],
dtype=tm.dtype)
stress = 2 * mu * (np.array([0, 0, strain, 0, 0, 0], dtype=tm.dtype) -
plastic_strain)
return {
"stress": stress,
"plastic_strain": plastic_strain,
"cumulated_plastic_strain": dep
}, {
"stress": mu,
"plastic_strain": 1,
"cumulated_plastic_strain": 1
}
# Tests plane-strain situations with Ny = 1
@pytest.fixture(params=[1, 4], ids=mtidfn)
def patch_isotropic_plasticity(request):
return UniformPlasticity(tm.model_type.volume_2d,
[1., 1., 1.],
[4, 4, request.param])
@pytest.fixture(scope="module",
params=type_list,
ids=mtidfn)
def model_fixture(request):
dim = tm.type_traits[request.param].dimension
model = tm.ModelFactory.createModel(request.param, dim * [1.], dim * [4])
model.displacement[:] = 3
model.traction[:] = 1
model['additional'] = 2 * np.ones(model.shape
+ [tm.type_traits[model.type].components])
return model
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