Robust and Efficient SPH Simulation for High-speed Fluids with the Dynamic Particle Partitioning Method

dc.contributor.authorZheng, Zhongen_US
dc.contributor.authorGao, Yangen_US
dc.contributor.authorLi, Shuaien_US
dc.contributor.authorQin, Hongen_US
dc.contributor.authorHao, Aiminen_US
dc.contributor.editorFu, Hongbo and Ghosh, Abhijeet and Kopf, Johannesen_US
dc.date.accessioned2018-10-07T14:31:52Z
dc.date.available2018-10-07T14:31:52Z
dc.date.issued2018
dc.description.abstractIn this paper, our research efforts are devoted to the efficiency issue of the SPH simulation when the ratio of velocities among fluid particles is large. Specifically, we introduce a k-means clustering method into the SPH framework to dynamically partition fluid particles into two disjoint groups based on their velocities, we then use a two-scale time step scheme for these two types of particles. The smaller time steps are for particles with higher speed in order to preserve temporal details and guarantee the numerical stability. In contrast, the larger time steps are used for particles with smaller speeds to reduce the computational expense, and both types of particles are tightly coupled in the simulation.We conduct various experiments which have manifested the advantages of our methods over the conventional SPH technique and its new variants in terms of efficiency and stability.en_US
dc.description.sectionheadersAnimation
dc.description.seriesinformationPacific Graphics Short Papers
dc.identifier.doi10.2312/pg.20181268
dc.identifier.isbn978-3-03868-073-4
dc.identifier.pages9-12
dc.identifier.urihttps://doi.org/10.2312/pg.20181268
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pg20181268
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectAnimation
dc.subjectPhysical simulation
dc.titleRobust and Efficient SPH Simulation for High-speed Fluids with the Dynamic Particle Partitioning Methoden_US
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