Diffusion FEM-DEM-bridging-coupling (master)
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Recent Commits
Commit | Author | Details | Committed | ||||
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7f58701afc6d | voisinleprince/renku 1.7.1 <https://github.com/swissdatasciencecenter/renku-python/tree/v1.7.1> | renku -S dataset add coupling data/coupling/Script_coupling_wave.zip --overwrite | Oct 2 2022 | ||||
7624e1051959 | voisinleprince/renku 1.7.1 <https://github.com/swissdatasciencecenter/renku-python/tree/v1.7.1> | renku -S dataset add coupling data/coupling/Script_coupling_no_wave.zip… | Oct 2 2022 | ||||
ccbf7f574b07 | voisinleprince/renku 1.7.1 <https://github.com/swissdatasciencecenter/renku-python/tree/v1.7.1> | renku -S dataset add coupling data/coupling/Script_coupling_no_wave.zip… | Oct 2 2022 | ||||
156c5270e9b0 | voisinleprince | modified readme | Oct 2 2022 | ||||
91da626cf49b | voisinleprince | README.md | Oct 2 2022 | ||||
2caa31f4ab07 | voisinleprince | Plot script | Sep 30 2022 | ||||
3e2acba326b6 | voisinleprince/renku 1.7.1 <https://github.com/swissdatasciencecenter/renku-python/tree/v1.7.1> | renku -S dataset create coupling --title Script to realize FEM-DEM coupling… | Sep 30 2022 | ||||
f6b1ef490885 | voisinleprince/renku 1.7.1 <https://github.com/swissdatasciencecenter/renku-python/tree/v1.7.1> | renku -S dataset create elastic_properties --title Script to compute material… | Sep 30 2022 | ||||
64254e233db4 | voisinleprince/renku 1.7.1 <https://github.com/swissdatasciencecenter/renku-python/tree/v1.7.1> | renku -S init | Sep 30 2022 | ||||
35be12bb59c5 | voisinleprince | Initial commit | Sep 30 2022 |
README.md
README.md
FEM-DEM coupling
Getting started
In this repository you will find the scripts and data referring to the paper "FEM-DEM bridging coupling for the modeling of gouge" (put doi once available).
This repository is composed of two main folders:
- The data folder, which is composed of:
- The elastic_properties folder, in which you will find the scripts and the data used to obtain the results presented in the section 3 of the paper.
- The coupling folder, in which you will find the scripts and the data used to obtain the results presented in the sections 4 and 5 of the paper.
Each sub folder contains its own README.md file.
- The notebook folder, in which you will find the main.ipynb file which allow the user to reproduce the plots of the paper.
Tools
The user will need python, lammps, paraview, and libmultiscale to properly launch all the scripts.
The version of libmultiscale used in the paper to launch the simulations is : fde0d490b83e9ff4c613322841408b733affa8a2
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