dc.contributor.author | Schreck, Camille | en_US |
dc.contributor.author | Lefebvre, Sylvain | en_US |
dc.contributor.author | Jourdan, David | en_US |
dc.contributor.author | Martínez, Jonàs | en_US |
dc.contributor.editor | Hu, Ruizhen | en_US |
dc.contributor.editor | Charalambous, Panayiotis | en_US |
dc.date.accessioned | 2024-04-16T15:39:08Z | |
dc.date.available | 2024-04-16T15:39:08Z | |
dc.date.issued | 2024 | |
dc.identifier.isbn | 978-3-03868-237-0 | |
dc.identifier.issn | 1017-4656 | |
dc.identifier.uri | https://doi.org/10.2312/egs.20241021 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egs20241021 | |
dc.description.abstract | Granular materials composed of particles with complex shapes are challenging to simulate due to the high number of collisions between the particles. In this context, star shapes are promising: they cover a wide range of geometries from convex to concave and have interesting geometric properties. We propose an efficient method to simulate a large number of identical star-shaped particles. Our method relies on an effective approximation of the contacts between particles that can handle complex shapes, including highly non-convex ones. We demonstrate our method by implementing it in a 2D simulation using the Discrete Element Method, both on the CPU and GPU. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | CCS Concepts: Computing methodologies → Physical simulation; Collision detection | |
dc.subject | Computing methodologies → Physical simulation | |
dc.subject | Collision detection | |
dc.title | StarDEM: Efficient Discrete Element Method for Star-shaped Particles | en_US |
dc.description.seriesinformation | Eurographics 2024 - Short Papers | |
dc.description.sectionheaders | Animation | |
dc.identifier.doi | 10.2312/egs.20241021 | |
dc.identifier.pages | 4 pages | |