{"title":"基于时变几何的CFD最小壁距计算","authors":"Liwu Wang, Jianli Feng, Yu Liu, Sijun Zhang","doi":"10.1115/fedsm2021-61454","DOIUrl":null,"url":null,"abstract":"\n This paper presents an efficient and scalable method to calculate the minimum wall distance (MWD), which is necessary for the Reynolds-Averaged Navier-Stokes (RANS) turbulence models. The MWD is described by the distance field function which is essentially a partial differential equation (PDE). The PDE is a type of convection-diffusion equation and can be solved by existing computational fluid dynamics (CFD) codes with minor modifications. Parallel computations for the PDE are conducted to study its efficiency and scalability. Encouraging results are obtained and demonstrate the present method is more efficient than all the alternate methods.","PeriodicalId":359619,"journal":{"name":"Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Minimum Wall Distance Computations With Time-Dependent Geometry for CFD\",\"authors\":\"Liwu Wang, Jianli Feng, Yu Liu, Sijun Zhang\",\"doi\":\"10.1115/fedsm2021-61454\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n This paper presents an efficient and scalable method to calculate the minimum wall distance (MWD), which is necessary for the Reynolds-Averaged Navier-Stokes (RANS) turbulence models. The MWD is described by the distance field function which is essentially a partial differential equation (PDE). The PDE is a type of convection-diffusion equation and can be solved by existing computational fluid dynamics (CFD) codes with minor modifications. Parallel computations for the PDE are conducted to study its efficiency and scalability. Encouraging results are obtained and demonstrate the present method is more efficient than all the alternate methods.\",\"PeriodicalId\":359619,\"journal\":{\"name\":\"Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1115/fedsm2021-61454\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 1: Aerospace Engineering Division Joint Track; Computational Fluid Dynamics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/fedsm2021-61454","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文提出了一种计算reynolds - average Navier-Stokes (RANS)湍流模型所需的最小壁距(MWD)的有效且可扩展的方法。MWD由距离场函数描述,其本质上是一个偏微分方程(PDE)。PDE是一种对流扩散方程,可以通过现有的计算流体力学(CFD)程序进行少量修改来求解。对该算法进行了并行计算,研究了其效率和可扩展性。得到了令人鼓舞的结果,并证明了该方法比所有替代方法都更有效。
Minimum Wall Distance Computations With Time-Dependent Geometry for CFD
This paper presents an efficient and scalable method to calculate the minimum wall distance (MWD), which is necessary for the Reynolds-Averaged Navier-Stokes (RANS) turbulence models. The MWD is described by the distance field function which is essentially a partial differential equation (PDE). The PDE is a type of convection-diffusion equation and can be solved by existing computational fluid dynamics (CFD) codes with minor modifications. Parallel computations for the PDE are conducted to study its efficiency and scalability. Encouraging results are obtained and demonstrate the present method is more efficient than all the alternate methods.