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dc.contributor.authorHuber, Markusen_US
dc.contributor.authorReinhardt, Stefanen_US
dc.contributor.authorWeiskopf, Danielen_US
dc.contributor.authorEberhardt, Bernharden_US
dc.contributor.editorFabrice Jaillet and Florence Zara and Gabriel Zachmannen_US
dc.date.accessioned2015-11-04T08:42:02Z
dc.date.available2015-11-04T08:42:02Z
dc.date.issued2015en_US
dc.identifier.isbn978-3-905674-98-9en_US
dc.identifier.urihttp://dx.doi.org/10.2312/vriphys.20151333en_US
dc.description.abstractWe evaluate surface tension models in particle-based fluid simulation systems using smoothed particle hydrodynamics (SPH) with a benchmark test. Our benchmark consists of three experiments and a set of analysis methods that are useful for the comparison of surface tension models. Although visual quality is of major interest and is considered as well, we suggest quantification methods for the properties of these models. The goal is to identify if a certain model is suitable for a given scenario and to be able to control the results in the creation of animations. We apply the proposed evaluation methods to three existing surface tension models in combination with different SPH techniques (WCSPH, PCISPH, and IISPH) and perform systematic tests to show the influence of different settings and parameter choices. The surface tension models are chosen from different classes: a pure inter-particle force model, a model based on surface curvature, and a model using a combination of these. Additionally, we present a simple modification to improve the quality of inter-particle force models.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.7 [Computer Graphics]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectAnimationen_US
dc.titleEvaluation of Surface Tension Models for SPH-Based Fluid Animations Using a Benchmark Testen_US
dc.description.seriesinformationWorkshop on Virtual Reality Interaction and Physical Simulationen_US
dc.description.sectionheadersFluidsen_US
dc.identifier.doi10.2312/vriphys.20151333en_US
dc.identifier.pages41-50en_US


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