{"title":"以各向异性强迫均质湍流为基础的雷诺应力衰减模型","authors":"Ty Homan, Omkar B. Shende, Ali Mani","doi":"arxiv-2409.05179","DOIUrl":null,"url":null,"abstract":"Models for solving the Reynolds-averaged Navier-Stokes equations are popular\ntools for predicting complex turbulent flows due to their computational\naffordability and ability to provide or estimate quantities of engineering\ninterest. However, results depend on a proper treatment of unclosed terms,\nwhich require progress in the development and assessment of model forms. In\nthis study, we consider the Reynolds stress transport equations as a framework\nfor second-moment turbulence closure modeling. We specifically focus on the\nterms responsible for decay of the Reynolds stresses, which can be isolated and\nevaluated separately from other terms in a canonical setup of homogeneous\nturbulence. We show that by using anisotropic forcing of the momentum equation,\nwe can access states of turbulence traditionally not probed in a\ntriply-periodic domain. The resulting data span a wide range of anisotropic\nturbulent behavior in a more comprehensive manner than extant literature. We\nthen consider a variety of model forms for which these data allow us to perform\na robust selection of model coefficients and select an optimal model that\nextends to cubic terms when expressed in terms of the principal coordinate\nReynolds stresses. Performance of the selected decay model is then examined\nrelative to the simulation data and popular models from the literature,\ndemonstrating the superior accuracy of the developed model and, in turn, the\nefficacy of this framework for model selection and tuning.","PeriodicalId":501125,"journal":{"name":"arXiv - PHYS - Fluid Dynamics","volume":"273 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reynolds stress decay modeling informed by anisotropically forced homogeneous turbulence\",\"authors\":\"Ty Homan, Omkar B. Shende, Ali Mani\",\"doi\":\"arxiv-2409.05179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Models for solving the Reynolds-averaged Navier-Stokes equations are popular\\ntools for predicting complex turbulent flows due to their computational\\naffordability and ability to provide or estimate quantities of engineering\\ninterest. However, results depend on a proper treatment of unclosed terms,\\nwhich require progress in the development and assessment of model forms. In\\nthis study, we consider the Reynolds stress transport equations as a framework\\nfor second-moment turbulence closure modeling. We specifically focus on the\\nterms responsible for decay of the Reynolds stresses, which can be isolated and\\nevaluated separately from other terms in a canonical setup of homogeneous\\nturbulence. We show that by using anisotropic forcing of the momentum equation,\\nwe can access states of turbulence traditionally not probed in a\\ntriply-periodic domain. The resulting data span a wide range of anisotropic\\nturbulent behavior in a more comprehensive manner than extant literature. We\\nthen consider a variety of model forms for which these data allow us to perform\\na robust selection of model coefficients and select an optimal model that\\nextends to cubic terms when expressed in terms of the principal coordinate\\nReynolds stresses. Performance of the selected decay model is then examined\\nrelative to the simulation data and popular models from the literature,\\ndemonstrating the superior accuracy of the developed model and, in turn, the\\nefficacy of this framework for model selection and tuning.\",\"PeriodicalId\":501125,\"journal\":{\"name\":\"arXiv - PHYS - Fluid Dynamics\",\"volume\":\"273 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Fluid Dynamics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.05179\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Fluid Dynamics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.05179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reynolds stress decay modeling informed by anisotropically forced homogeneous turbulence
Models for solving the Reynolds-averaged Navier-Stokes equations are popular
tools for predicting complex turbulent flows due to their computational
affordability and ability to provide or estimate quantities of engineering
interest. However, results depend on a proper treatment of unclosed terms,
which require progress in the development and assessment of model forms. In
this study, we consider the Reynolds stress transport equations as a framework
for second-moment turbulence closure modeling. We specifically focus on the
terms responsible for decay of the Reynolds stresses, which can be isolated and
evaluated separately from other terms in a canonical setup of homogeneous
turbulence. We show that by using anisotropic forcing of the momentum equation,
we can access states of turbulence traditionally not probed in a
triply-periodic domain. The resulting data span a wide range of anisotropic
turbulent behavior in a more comprehensive manner than extant literature. We
then consider a variety of model forms for which these data allow us to perform
a robust selection of model coefficients and select an optimal model that
extends to cubic terms when expressed in terms of the principal coordinate
Reynolds stresses. Performance of the selected decay model is then examined
relative to the simulation data and popular models from the literature,
demonstrating the superior accuracy of the developed model and, in turn, the
efficacy of this framework for model selection and tuning.