{"title":"基于分布粒子的流体流动模拟","authors":"T. Gilman, T. Huntsberger, P. Sharma","doi":"10.1109/DMCC.1991.633164","DOIUrl":null,"url":null,"abstract":"Many attempts have been made t o simulate the motion of non-rigid objects. While there have been many successes in this area, the animation of fluids is still a relatively unconquered frontier. This paper describes a distributed model for fluid flow study based on behavioral simulation of atom-like particles. These particles define the size and shape of the fluid. In addiiion, these particles have inertia and respond to attraction, repulsion and gravitation. Unlike previous fluid flow systems, inter-particle forces are explicitly included an the model. A distributed mapping of the particle database similar to recent load-balanced PIC studies [5, 61 allows large numbers of particles to be included in the model. We also present the results of some experimental studies performed on the NCUBE/lD system at the University of South Carolina.","PeriodicalId":313314,"journal":{"name":"The Sixth Distributed Memory Computing Conference, 1991. Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distributed particle based fluid flow simulation\",\"authors\":\"T. Gilman, T. Huntsberger, P. Sharma\",\"doi\":\"10.1109/DMCC.1991.633164\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many attempts have been made t o simulate the motion of non-rigid objects. While there have been many successes in this area, the animation of fluids is still a relatively unconquered frontier. This paper describes a distributed model for fluid flow study based on behavioral simulation of atom-like particles. These particles define the size and shape of the fluid. In addiiion, these particles have inertia and respond to attraction, repulsion and gravitation. Unlike previous fluid flow systems, inter-particle forces are explicitly included an the model. A distributed mapping of the particle database similar to recent load-balanced PIC studies [5, 61 allows large numbers of particles to be included in the model. We also present the results of some experimental studies performed on the NCUBE/lD system at the University of South Carolina.\",\"PeriodicalId\":313314,\"journal\":{\"name\":\"The Sixth Distributed Memory Computing Conference, 1991. Proceedings\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Sixth Distributed Memory Computing Conference, 1991. Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DMCC.1991.633164\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Sixth Distributed Memory Computing Conference, 1991. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMCC.1991.633164","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Many attempts have been made t o simulate the motion of non-rigid objects. While there have been many successes in this area, the animation of fluids is still a relatively unconquered frontier. This paper describes a distributed model for fluid flow study based on behavioral simulation of atom-like particles. These particles define the size and shape of the fluid. In addiiion, these particles have inertia and respond to attraction, repulsion and gravitation. Unlike previous fluid flow systems, inter-particle forces are explicitly included an the model. A distributed mapping of the particle database similar to recent load-balanced PIC studies [5, 61 allows large numbers of particles to be included in the model. We also present the results of some experimental studies performed on the NCUBE/lD system at the University of South Carolina.