Recent Commits
Commit | Author | Details | Committed | ||||
---|---|---|---|---|---|---|---|
4e46acacb3cc | junge | Merge branch 'master' into feat/documentation | Dec 8 2018 | ||||
293be346d221 | D211 | junge | License switch to LGPL | Nov 20 2018 | |||
a2e8eb123503 | D204 | junge/muSpectre-bot | Fixed left-over instances of old, wrong license text | Oct 14 2018 | |||
91baed3bdbb9 | D203 | junge | Fixed License (referred to Emacs rather than µSpectre in places) | Oct 12 2018 | |||
40e173511de9 | D201 | junge | MAINT: Updated pfft engine to new fft engine interface. | Oct 5 2018 | |||
c2e4b509a217 | junge | ported back relevant parts of muLib integration | Oct 4 2018 | ||||
46721b412ed9 | D199 | junge | Enumerable Dynamic Field Maps and Globalisation of Local Fields | Sep 20 2018 | |||
e63cff03513f | junge | updated dependencies and tutorial example | Sep 5 2018 | ||||
f6a48a433ed5 | D198 | junge | Updated examples for new material names | Sep 5 2018 | |||
2fc6050971d8 | D190 | junge | Statefields integrated with regular fields + python bindings | Jul 24 2018 | |||
02acebee7766 | junge | Trigger readthedocs through Jenkins | Jun 18 2018 | ||||
5628cb16c27f | D189 | junge | Fixed documentation build on readthedocs.io | Jun 18 2018 | |||
1dd82467c304 | junge | yet another typo | Jun 18 2018 | ||||
a51899eb5c20 | junge | typo | Jun 18 2018 | ||||
cc2ffa963221 | junge | forgot to call trigger method | Jun 18 2018 |
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.