muSpectre/55a81a553700feat/statefield_integra…
feat/statefield_integration_T2090 vs master
Commit | Author | Details | Committed | ||||
---|---|---|---|---|---|---|---|
60e62f24a152 | junge | Minor fixes to Documentation | Sep 17 2018 | ||||
31a4f73376ac | junge | Merge branch 'master' into feat/statefield_integration_T2090 | Sep 17 2018 | ||||
f2d7c6276d6e | junge | fixed clang memory error | Sep 17 2018 | ||||
73a8b107a8af | junge | added python binding and test for globalised fields | Sep 17 2018 | ||||
fed6fb156668 | junge | Globalisation of material-internal (local) fields now possible | Sep 17 2018 | ||||
b36ad9a52ebe | junge | obtaining managed fields now generalised | Sep 17 2018 | ||||
405171bd8cf7 | junge | progress on managed fields | Sep 14 2018 | ||||
ee7d7c5b8d7c | junge | Fill from global/local implemented and tested | Sep 10 2018 | ||||
fac6af249e18 | junge | FieldMap enumerations added | Sep 10 2018 | ||||
6e79521f9a10 | junge | added get_map() functionality to dynamic fields | Aug 30 2018 |
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README
µSpectre
Copyright © 2018 Till Junge
µSpectre is free software; you can redistribute it and/or modify it under the terms of the GNU General 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 General Public License along with GNU Emacs; see the file COPYING. If not, write to the Free Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
This README contains only a small quick start guide. Please refer to the full documentation for more help.
Building µSpectre
µSpectre is a CMake project that uses C++14. It depends on the Boost unit test framework for testing and uses uses python3 as secondary API. You will need a modern C++ compiler (µSpectre was tested with gcc-6 , gcc-7, clang-4 and clang5) and CMake version 3.7.0 or higher.
Compilation
$ git clone https://c4science.ch/source/muSpectre.git $ cd build $ cmake -DCMAKE_BUILD_TYPE=Release .. $ make
µSpectre makes use of expression templates, as a result, production code must be compiled with the CMAKE_BUILD_TYPE flag set to Release in order to get performance (under gcc, non-optimised code is about 50 times slower than the release). Be careful with parallel compilation: compiling µSpectre is quite memory-hungry because of the use of expression templates, a parallel make -j requires currently about 10 GB of RAM under GCC.
Simple usage example
The following is a simple example for using µSpectre through its convenient Python interface
#!/usr/bin/env python3 import numpy as np import muSpectre as µ # setting the geometry resolution = [51, 51] center = np.array([r//2 for r in resolution]) incl = resolution[0]//5 lengths = [7., 5.] formulation = µ.Formulation.small_strain # creating the periodic cell rve = µ.SystemFactory(resolution, lengths, formulation) hard = µ.material.MaterialLinearElastic1_2d.make( rve, "hard", 10e9, .33) soft = µ.material.MaterialLinearElastic1_2d.make( rve, "soft", 70e9, .33) # assign a material to each pixel for i, pixel in enumerate(rve): if np.linalg.norm(center - np.array(pixel),2)<incl: hard.add_pixel(pixel) else: soft.add_pixel(pixel) tol = 1e-5 cg_tol = 1e-8 # set macroscopic strain Del0 = np.array([[.0, .0], [0, .03]]) if formulation == µ.Formulation.small_strain: Del0 = .5*(Del0 + Del0.T) maxiter = 401 verbose = 2 solver = µ.solvers.SolverCG(rve, cg_tol, maxiter, verbose=False) r = µ.solvers.newton_cg(rve, Del0, solver, tol, verbose) print("nb of {} iterations: {}".format(solver.name(), r.nb_fev))
You can find more examples using both the python and the c++ interface in the bin/ and tests folder.