Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7749-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-7749-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
22 Dec 2021
Model description paper |
| 22 Dec 2021
| 22 Dec 2021
An explicit GPU-based material point method solver for elastoplastic problems (ep2-3De v1.0)
Institute of Earth Sciences, University of Lausanne, 1015 Lausanne, Switzerland
Swiss Geocomputing Center, University of Lausanne, 1015 Lausanne, Switzerland
Yury Alkhimenkov
Institute of Earth Sciences, University of Lausanne, 1015 Lausanne, Switzerland
Swiss Geocomputing Center, University of Lausanne, 1015 Lausanne, Switzerland
Faculty of Mechanics and Mathematics, Lomonosov Moscow State University, Moscow, 119991, Russia
Michel Jaboyedoff
Institute of Earth Sciences, University of Lausanne, 1015 Lausanne, Switzerland
Swiss Geocomputing Center, University of Lausanne, 1015 Lausanne, Switzerland
Yury Y. Podladchikov
Institute of Earth Sciences, University of Lausanne, 1015 Lausanne, Switzerland
Swiss Geocomputing Center, University of Lausanne, 1015 Lausanne, Switzerland
Faculty of Mechanics and Mathematics, Lomonosov Moscow State University, Moscow, 119991, Russia
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Short summary
We propose an implementation of the material point method using graphical processing units (GPUs) to solve elastoplastic problems in three-dimensional configurations, such as the granular collapse or the slumping mechanics, i.e., landslide. The computational power of GPUs promotes fast code executions, compared to a traditional implementation using central processing units (CPUs). This allows us to study complex three-dimensional problems tackling high spatial resolution.
We propose an implementation of the material point method using graphical processing units...
