StarDEM: Efficient Discrete Element Method for Star-shaped Particles

dc.contributor.authorSchreck, Camilleen_US
dc.contributor.authorLefebvre, Sylvainen_US
dc.contributor.authorJourdan, Daviden_US
dc.contributor.authorMartínez, Jonàsen_US
dc.contributor.editorHu, Ruizhenen_US
dc.contributor.editorCharalambous, Panayiotisen_US
dc.date.accessioned2024-04-30T08:19:00Z
dc.date.available2024-04-30T08:19:00Z
dc.date.issued2024
dc.description.abstractGranular 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.description.sectionheadersAnimation
dc.description.seriesinformationEurographics 2024 - Short Papers
dc.identifier.doi10.2312/egs.20241021
dc.identifier.isbn978-3-03868-237-0
dc.identifier.issn1017-4656
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/egs.20241021
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/egs20241021
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Physical simulation; Collision detection
dc.subjectComputing methodologies → Physical simulation
dc.subjectCollision detection
dc.titleStarDEM: Efficient Discrete Element Method for Star-shaped Particlesen_US
Files
Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
06_egs20241021.pdf
Size:
5.88 MB
Format:
Adobe Portable Document Format
No Thumbnail Available
Name:
short1012.mp4
Size:
569.43 MB
Format:
Video MP4