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Tamaas --- A blazingly fast rough contact library
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Tamaas is a C++/Python library that implements a number of numerical methods based on integral equations to efficiently solve contact problems with rough surfaces. The word تماس (tamaas) means "contact" in Arabic and Farsi.
[![Documentation Status](https://readthedocs.org/projects/tamaas/badge/?version=latest)](https://tamaas.readthedocs.io/en/latest/?badge=latest)
## Dependencies
Here is a list of dependencies for Tamaas:
- a //C++ compiler// with full //C++14// and //OpenMP// support
- //SCons// (python build system)
- //FFTW3// compiled with //OpenMP// support
- //boost// (preprocessor)
- //thrust// (1.9.2+)
- //python 3+// (probably works with python 2, but it is not tested) with //numpy//
- //pybind11// (included as submodule)
- //expolit// (included as submodule)
Optional dependencies are:
- //scipy// (for nonlinear solvers)
- //uvw// (for dumpers)
- //googletest// and //pytest// (for tests)
- //Doxygen// and //Sphinx// (for documentation)
Note that a Debian distribution should have the right packages for all these dependencies (they package the right version of thrust extracted from CUDA in `stretch-backports non-free` and `buster non-free`).
## Compiling
You should first clone the git submodules that are dependencies to tamaas (expolit, pybind11 and googletest):
git submodule update --init --recursive
The build system uses SCons. In order to compile Tamaas with the default options:
scons
After compiling a first time, you can edit the compilation options in the file `build-setup.conf`, or alternatively supply the options directly in the command line:
scons option=value [...]
To get a list of //all// build options and their possible values, you can run `scons -h`. You can run `scons -H` to see the SCons-specific options (among them `-j n` executes the build with `n` threads and `-c` cleans the build). Note that the build is aware of the `CXX` and `CXXFLAGS` environment variables.
## Installing
Once compiled, you can install the python module with `pip` (preferably in a virtual environment):
pip install -e build-release/python
Check that everything is working fine with:
python3 -c 'import tamaas; print(tamaas)'
## Tests
To run tests, execute `pytest build-<build_type>` if you have compiled Tamaas with tests activated (`scons build_tests=True use_googletest=True`).
## Documentation
To build the documentation, activate the `build_doc` option. The compiled indexes for the doxygen C++ API and Sphinx documentation can be found in `doc/build/{doxygen,sphinx}/html/index.html`.
## Examples
Example simulations can be found in the `examples/` directory. There is no guarantee that the examples in `examples/legacy/` all work however.
- `rough_contact.py` shows a typical normal rough contact simulation
- `adhesion.py` shows how you can derive some classes from Tamaas in python, here to implement a custom adhesion potential
- `plasticity.py` computes an elastoplastic Hertz simulation and dumps the result in `examples/paraview/` in VTK format
- `stresses.py` shows how you can compute stresses from a boundary traction distribution
- the scripts in `pipe_tools` allow to execute elastic contact simulations without the need to code a custom script (see documentation for more details)
## Citing
Please cite Tamaas as:
Frérot, L., Anciaux, G., Rey, V., Pham-Ba, S., J.-F., Molinari (2019). Tamaas, a high-performance library for periodic rough surface contact, [doi:10.5281/zenodo.3479237](https://doi.org/10.5281/zenodo.3479237).
If you use the elastic-plastic contact capabilities of Tamaas, please cite:
Frérot, L., Bonnet, M., Molinari, J.-F. & Anciaux, G. A Fourier-accelerated volume integral method for elastoplastic contact. Computer Methods in Applied Mechanics and Engineering 351, 951–976 (2019) [doi:10.1016/j.cma.2019.04.006](https://doi.org/10.1016/j.cma.2019.04.006).
If you use the adhesive contact capabilities of Tamaas, please cite:
Rey, V., Anciaux, G. & Molinari, J.-F. Normal adhesive contact on rough surfaces: efficient algorithm for FFT-based BEM resolution. Comput Mech 1–13 (2017) [doi:10.1007/s00466-017-1392-5](https://doi.org/10.1007/s00466-017-1392-5).
## License
Tamaas is distributed under the terms of the [GNU Affero General Public License v3.0](https://www.gnu.org/licenses/agpl.html).
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