Homec4science
Diffusion tamaas (features/materials) Browse

tamaas/tests/test_boussinesq_surface.py
4278fed63fdefeatures/materials

Last Change
Raw File

test_boussinesq_surface.py
View Options

# -*- coding: utf-8 -*-
#
# Copyright (©) 2016-2022 EPFL (École Polytechnique Fédérale de Lausanne),
# Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
#
# 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/>.
import numpy as np
import tamaas as tm
from numpy.linalg import norm
def test_boussinesq_surface():
# Definition of modeled domain
model_type = tm.model_type.volume_2d
discretization = [2, 128, 128]
system_size = [1., 1., 1.]
x, y = [np.linspace(0, size, n, endpoint=False, dtype=tm.dtype)
for size, n in zip(system_size[1:], discretization[1:])]
xx, yy = np.meshgrid(x, y, sparse=True)
tractions = np.zeros(discretization[1:] + [3], dtype=tm.dtype)
for i in range(3):
omega = np.random.randint(1, 20, (2,)) * 2 * np.pi
tractions[:, :, i] = np.cos(omega[0]*xx)*np.cos(omega[1]*yy)
# Material contants
E = 1. # Young's modulus
nu = 0.3 # Poisson's ratio
# Creation of model
model_vol = tm.ModelFactory.createModel(model_type,
system_size,
discretization)
model_surf = tm.ModelFactory.createModel(tm.model_type.surface_2d,
[1, 1],
tractions.shape[:-1])
model_vol.E = model_surf.E = E
model_vol.nu = model_surf.nu = nu
# Setup for integral operators
tm.ModelFactory.createResidual(model_vol, 0, 0)
# Pressure definition
model_vol['traction'][...] = tractions
model_surf['traction'][...] = tractions
model_surf.solveNeumann()
# Applying operator
boussinesq = model_vol.operators["boussinesq"]
boussinesq(model_vol['traction'], model_vol['displacement'])
# # Dumper
# dumper_helper = UVWDumper(residual, args.name)
# model.addDumper(dumper_helper)
# model.dump()
# print("Done")
for i in range(3):
error = norm(model_vol.displacement[0, :, :, i]
- model_surf.displacement[:, :, i]) \
/ norm(tractions[:, :, i])
assert error < 1e-16
c4science · Help