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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| Vydáno v: | Computer graphics forum Ročník 35; číslo 2; s. 215 - 224 |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Oxford
Blackwell Publishing Ltd
01.05.2016
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| Témata: | |
| ISSN: | 0167-7055, 1467-8659 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Nonato, Luis Gustavo Paiva, Afonso Sandim, Marcos Pagliosa, Paulo Cedrim, Douglas |
| Author_xml | – sequence: 1 givenname: Marcos surname: Sandim fullname: Sandim, Marcos organization: ICMC-USP, São Carlos, Brazil – sequence: 2 givenname: Douglas surname: Cedrim fullname: Cedrim, Douglas organization: ICMC-USP, São Carlos, Brazil – sequence: 3 givenname: Luis Gustavo surname: Nonato fullname: Nonato, Luis Gustavo organization: ICMC-USP, São Carlos, Brazil – sequence: 4 givenname: Paulo surname: Pagliosa fullname: Pagliosa, Paulo organization: FACOM-UFMS, Campo Grande, Brazil – sequence: 5 givenname: Afonso surname: Paiva fullname: Paiva, Afonso organization: ICMC-USP, São Carlos, Brazil |
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| CitedBy_id | crossref_primary_10_1145_3747856 crossref_primary_10_1016_j_jcp_2022_111198 crossref_primary_10_1002_mawe_202300161 crossref_primary_10_1016_j_cag_2019_03_015 crossref_primary_10_1016_j_cag_2019_08_011 crossref_primary_10_1007_s41095_023_0368_y crossref_primary_10_1111_cgf_14510 crossref_primary_10_1016_j_jcp_2020_109702 crossref_primary_10_1145_3414685_3417794 crossref_primary_10_1016_j_cag_2023_05_015 crossref_primary_10_3390_computers9020023 crossref_primary_10_1145_3414685_3417845 crossref_primary_10_1186_s13640_017_0227_9 |
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| References_xml | – reference: Barber C. B., Dobkin D. P., Huhdanpaa H.: The quick-hull algorithm for convex hulls. ACM Trans. Math. Softw. 22, 4 (1996), 469-483. 4 – reference: Mercier O., Beauchemin C., Thuerey N., Kim T., Nowrouzezahrai D.: Surface turbulence for particle-based liquid simulations. ACM Trans. Graph. 34, 6 (2015), 202:1-202:10. 8 – reference: Gomez-Gesteira M., Rogers B. D., Crespo A. J. C., Dalrymple R. A., Narayanaswamy M., Dominguez J. M.: SPHysics - development of a free-surface fluid solver - part 1: theory and formulations. Comput. Geosci. 48 (2012), 289-299. 5 – reference: Powers D. M. W.: Evaluation: from Precision, Recall and F-measure to ROC, Informedness, Markedness and Correlation. Journal of Machine Learning Technologies 2, 1 (2011), 37-63. 6 – reference: Premzoe S., Tasdizen T., Bigler J., Lefohn A., Whitaker R. T.: Particle-based simulation of fluids. Computer Graphics Forum 22, 3 (2003), 401-410. 1 – reference: Geuzaine C., Remacle J.-F. A.: Gmsh: A 3-D finite element mesh generator with built-in pre- and post-processing facilities. Int. J. Numer. Meth. Eng. 79, 11 (2009), 1309-1331. 5 – reference: Kazhdan M., Hoppe H.: Screened poisson surface reconstruction. ACM Trans. Graph. 32, 3 (2013), 29:1-29:13. 7 – reference: Yu J., Turk G.: Reconstructing surfaces of particle-based fluids using anisotropic kernels. ACM Trans. Graph. 32, 1 (2013), 5:1-5:12. 7 – reference: Katz S., Tal A., Basri R.: Direct visibility of point sets. ACM Trans. Graph. 26, 3 (2007). 2, 3 – reference: Haque A., Dilts G. A.: Three-dimensional boundary detection for particle methods. J. Comput. Phys. 226, 2 (2007), 1710-1730. 2, 5 – reference: Macklin M., Müller M.: Position based fluids. ACM Trans. Graph. 32, 4 (2013), 104:1-104:12. 1 – reference: Zalesak S. T.: Fully multidimensional flux-corrected transport algorithms for fluids. J. Comput. Phys. 31, 3 (1979), 335-362. 7 – reference: HE X., Liu N., Wang G., Zhang F., Li S., Shao S., Wang H.: Staggered meshless solid-fluid coupling. ACM Trans. Graph. 31, 6 (2012), 149:1-149:12. 2, 5 – reference: Akinci G., Ihmsen M., Akinci N., Teschner M.: Parallel surface reconstruction for particle-based fluids. Computer Graphics Forum 31, 6 (2012), 1797-1809. 7 – reference: Machado e Silva R., Esperança C., Marroquim R., Oliveira A. A. F.: Image space rendering of point clouds using the HPR operator. Computer Graphics Forum 33, 1 (2014), 178-189. 8 – reference: Marrone S., Colagrossi A., Le Touzé D., Graziani G.: Fast free-surface detection and level-set function definition in SPH solvers. J. Comput. Phys. 229, 10 (2010), 3652-3663. 2, 5 – reference: Solenthaler B., Schläfli J., Pajarola R.: A unified particle model for fluid-solid interactions. Comput. Animat. 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| Snippet | This paper presents a novel method to detect free‐surfaces on particle‐based volume representation. In contrast to most particle‐based free‐surface detection... This paper presents a novel method to detect free-surfaces on particle-based volume representation. In contrast to most particle-based free-surface detection... |
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| SubjectTerms | 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 |
| Title | Boundary Detection in Particle-based Fluids |
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