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dc.contributor.authorSommer, Alexandr
dc.contributor.authorSchwanecke, Ulrich
dc.contributor.authorSchoemer, Elmar
dc.contributor.editorSkala, Václav
dc.date.accessioned2022-08-29T10:00:19Z
dc.date.available2022-08-29T10:00:19Z
dc.date.issued2022
dc.identifier.citationJournal of WSCG. 2022, vol. 30, no. 1-2, p. 9-15.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.urihttp://hdl.handle.net/11025/49389
dc.format7 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectdynamika založená na polozecs
dc.subjectsimulace založená na polozecs
dc.subjectsimulace v reálném časecs
dc.subjectanimacecs
dc.titleInteractive High-Resolution Simulation of Granular Materialen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedWe introduce a particle-based simulation method for granular material in interactive frame rates. We divide the simulation into two decoupled steps. In the first step, a relatively small number of particles is accurately simulated with a constraint-based method. Here, all collisions and the resulting friction between the particles are taken into account. In the second step, the small number of particles is significantly increased by an efficient sampling algorithm without creating additional artifacts. The method is particularly robust and allows relatively large time steps, which makes it well suited for real-time applications. With our method, up to 500k particles can be computed in interactive frame rates on consumer CPUs without relying on GPU support for massive parallel computing. This makes it well suited for applications where a lot of GPU power is already needed for render tasks.en
dc.subject.translatedposition-based dynamicsen
dc.subject.translatedposition-based simulationen
dc.subject.translatedreal-time simulationen
dc.subject.translatedanimationen
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2022.2
dc.type.statusPeer-revieweden
Appears in Collections:Volume 30, Number 1-2 (2021)

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