Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7749-2021
https://doi.org/10.5194/gmd-14-7749-2021
Model description paper
 | 
22 Dec 2021
Model description paper |  | 22 Dec 2021

An explicit GPU-based material point method solver for elastoplastic problems (ep2-3De v1.0)

Emmanuel Wyser, Yury Alkhimenkov, Michel Jaboyedoff, and Yury Y. Podladchikov

Viewed

Total article views: 3,182 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,307 780 95 3,182 54 64
  • HTML: 2,307
  • PDF: 780
  • XML: 95
  • Total: 3,182
  • BibTeX: 54
  • EndNote: 64
Views and downloads (calculated since 05 Aug 2021)
Cumulative views and downloads (calculated since 05 Aug 2021)

Viewed (geographical distribution)

Total article views: 3,182 (including HTML, PDF, and XML) Thereof 3,023 with geography defined and 159 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Nov 2024
Download
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.