{"title":"基于sph的流体模拟研究进展","authors":"Fengquan Zhang, Jiawen Wu, Xukun Shen","doi":"10.1109/ICVRV.2011.18","DOIUrl":null,"url":null,"abstract":"This paper presents an up-to-date survey on the application of Smoothed Particle Hydrodynamics (SPH) method in fluid simulation. As a pure Lagrangian method, it has a wide range of applications in computer graphics. We summarize it from key issues of kernel function, neighborhood search, boundary conditions, time integral to algorithm application in diverse fluids, including bubble, fluid-solid interaction, multiphase flow and mixed flow. We also discuss the hotspots area, including adaptive sampling, flow control, surface rendering and accelerating algorithm. In experiment section, we show four different animation scenes based on the survey algorithm in our platform. In the end, we point out the potential problems and prospects for future work.","PeriodicalId":239933,"journal":{"name":"2011 International Conference on Virtual Reality and Visualization","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"SPH-Based Fluid Simulation: A Survey\",\"authors\":\"Fengquan Zhang, Jiawen Wu, Xukun Shen\",\"doi\":\"10.1109/ICVRV.2011.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an up-to-date survey on the application of Smoothed Particle Hydrodynamics (SPH) method in fluid simulation. As a pure Lagrangian method, it has a wide range of applications in computer graphics. We summarize it from key issues of kernel function, neighborhood search, boundary conditions, time integral to algorithm application in diverse fluids, including bubble, fluid-solid interaction, multiphase flow and mixed flow. We also discuss the hotspots area, including adaptive sampling, flow control, surface rendering and accelerating algorithm. In experiment section, we show four different animation scenes based on the survey algorithm in our platform. In the end, we point out the potential problems and prospects for future work.\",\"PeriodicalId\":239933,\"journal\":{\"name\":\"2011 International Conference on Virtual Reality and Visualization\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Virtual Reality and Visualization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICVRV.2011.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Virtual Reality and Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRV.2011.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents an up-to-date survey on the application of Smoothed Particle Hydrodynamics (SPH) method in fluid simulation. As a pure Lagrangian method, it has a wide range of applications in computer graphics. We summarize it from key issues of kernel function, neighborhood search, boundary conditions, time integral to algorithm application in diverse fluids, including bubble, fluid-solid interaction, multiphase flow and mixed flow. We also discuss the hotspots area, including adaptive sampling, flow control, surface rendering and accelerating algorithm. In experiment section, we show four different animation scenes based on the survey algorithm in our platform. In the end, we point out the potential problems and prospects for future work.