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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.accessioned2024-04-16T15:39:08Z
dc.date.available2024-04-16T15:39:08Z
dc.date.issued2024
dc.identifier.isbn978-3-03868-237-0
dc.identifier.issn1017-4656
dc.identifier.urihttps://doi.org/10.2312/egs.20241021
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egs20241021
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.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
dc.description.seriesinformationEurographics 2024 - Short Papers
dc.description.sectionheadersAnimation
dc.identifier.doi10.2312/egs.20241021
dc.identifier.pages4 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License