{"title":"基于可压缩湍流涡流识别的高阶自适应耗散方案","authors":"Jiahong Cai,Shengye Wang, Wei Liu","doi":"10.4208/cicp.oa-2023-0164","DOIUrl":null,"url":null,"abstract":"In the numerical simulation of compressible turbulence involving shock\nwaves, accurately capturing the intricate vortex structures and robustly computing\nthe shock wave are imperative. Employing a high-order scheme with adaptive dissipation characteristics proves to be an efficient approach in distinguishing small-scale\nvortex structures with precision while capturing discontinuities. However, differentiating between small-scale vortex structures and discontinuities during calculations has\nbeen a key challenge. This paper introduces a high-order adaptive dissipation central-upwind weighted compact nonlinear scheme based on vortex recognition (named as\nWCNS-CU-Ω), that is capable of physically distinguishing shock waves and small-scale vortex structures in the high wave number region by identifying vortices within\nthe flow field, thereby enabling adaptive control of numerical dissipation for interpolation schemes. A variety of cases involving Euler, N-S even RANS equations are tested\nto verify the performance of the WCNS-CU-Ω scheme. It was found that this new\nscheme exhibits excellent small-scale resolution and robustness in capturing shock\nwaves. As a result, it can be applied more broadly to numerical simulations of compressible turbulence.","PeriodicalId":50661,"journal":{"name":"Communications in Computational Physics","volume":"13 1","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High-Order Adaptive Dissipation Scheme Based on Vortex Recognition for Compressible Turbulence Flow\",\"authors\":\"Jiahong Cai,Shengye Wang, Wei Liu\",\"doi\":\"10.4208/cicp.oa-2023-0164\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the numerical simulation of compressible turbulence involving shock\\nwaves, accurately capturing the intricate vortex structures and robustly computing\\nthe shock wave are imperative. Employing a high-order scheme with adaptive dissipation characteristics proves to be an efficient approach in distinguishing small-scale\\nvortex structures with precision while capturing discontinuities. However, differentiating between small-scale vortex structures and discontinuities during calculations has\\nbeen a key challenge. This paper introduces a high-order adaptive dissipation central-upwind weighted compact nonlinear scheme based on vortex recognition (named as\\nWCNS-CU-Ω), that is capable of physically distinguishing shock waves and small-scale vortex structures in the high wave number region by identifying vortices within\\nthe flow field, thereby enabling adaptive control of numerical dissipation for interpolation schemes. A variety of cases involving Euler, N-S even RANS equations are tested\\nto verify the performance of the WCNS-CU-Ω scheme. It was found that this new\\nscheme exhibits excellent small-scale resolution and robustness in capturing shock\\nwaves. As a result, it can be applied more broadly to numerical simulations of compressible turbulence.\",\"PeriodicalId\":50661,\"journal\":{\"name\":\"Communications in Computational Physics\",\"volume\":\"13 1\",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Computational Physics\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.4208/cicp.oa-2023-0164\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PHYSICS, MATHEMATICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Computational Physics","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.4208/cicp.oa-2023-0164","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHYSICS, MATHEMATICAL","Score":null,"Total":0}
High-Order Adaptive Dissipation Scheme Based on Vortex Recognition for Compressible Turbulence Flow
In the numerical simulation of compressible turbulence involving shock
waves, accurately capturing the intricate vortex structures and robustly computing
the shock wave are imperative. Employing a high-order scheme with adaptive dissipation characteristics proves to be an efficient approach in distinguishing small-scale
vortex structures with precision while capturing discontinuities. However, differentiating between small-scale vortex structures and discontinuities during calculations has
been a key challenge. This paper introduces a high-order adaptive dissipation central-upwind weighted compact nonlinear scheme based on vortex recognition (named as
WCNS-CU-Ω), that is capable of physically distinguishing shock waves and small-scale vortex structures in the high wave number region by identifying vortices within
the flow field, thereby enabling adaptive control of numerical dissipation for interpolation schemes. A variety of cases involving Euler, N-S even RANS equations are tested
to verify the performance of the WCNS-CU-Ω scheme. It was found that this new
scheme exhibits excellent small-scale resolution and robustness in capturing shock
waves. As a result, it can be applied more broadly to numerical simulations of compressible turbulence.
期刊介绍:
Communications in Computational Physics (CiCP) publishes original research and survey papers of high scientific value in computational modeling of physical problems. Results in multi-physics and multi-scale innovative computational methods and modeling in all physical sciences will be featured.