Boundary Detection in Particle-based Fluids

This paper presents a novel method to detect free‐surfaces on particle‐based volume representation. In contrast to most particle‐based free‐surface detection methods, which perform the surface identification based on physical and geometrical properties derived from the underlying fluid flow simulati...

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Veröffentlicht in:	Computer graphics forum Jg. 35; H. 2; S. 215 - 224
Hauptverfasser:	Sandim, Marcos, Cedrim, Douglas, Nonato, Luis Gustavo, Pagliosa, Paulo, Paiva, Afonso
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Blackwell Publishing Ltd 01.05.2016
Schlagworte:	Analysis and object representations Boundaries Categories and Subject Descriptors (according to ACM CCS) Computational fluid dynamics Computer graphics Computer simulation Fluid flow Fluid mechanics Fluids I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Boundary representations I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Curve I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Physically based modeling I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Curve, surface, solid, and object representations I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Animation Rendering Representations Simulation solid State of the art Studies surface
ISSN:	0167-7055, 1467-8659
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	This paper presents a novel method to detect free‐surfaces on particle‐based volume representation. In contrast to most particle‐based free‐surface detection methods, which perform the surface identification based on physical and geometrical properties derived from the underlying fluid flow simulation, the proposed approach only demands the spatial location of the particles to properly recognize surface particles, avoiding even the use of kernels. Boundary particles are identified through a Hidden Point Removal (HPR) operator used for visibility test. Our method is very simple, fast, easy to implement and robust to changes in the distribution of particles, even when facing large deformation of the free‐surface. A set of comparisons against state‐of‐the‐art boundary detection methods show the effectiveness of our approach. The good performance of our method is also attested in the context of fluid flow simulation involving free‐surface, mainly when using level‐sets for rendering purposes.
Bibliographie:	ark:/67375/WNG-B7W3CQCB-T ArticleID:CGF12824 istex:A143625DB589882EDED244B8A8149DF3BE112AFE Supporting Information SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23
ISSN:	0167-7055 1467-8659
DOI:	10.1111/cgf.12824