Implementation and Validation of the SST Delayed eXtra-LES Model for Complex Turbulent Flows

IF 1.1 4区 工程技术 Q4 MECHANICS
A. Fracassi, R. De Donno, A. Ghidoni, G. Noventa
{"title":"Implementation and Validation of the SST Delayed eXtra-LES Model for Complex Turbulent Flows","authors":"A. Fracassi, R. De Donno, A. Ghidoni, G. Noventa","doi":"10.1080/10618562.2022.2152013","DOIUrl":null,"url":null,"abstract":"This work presents a Delayed version of the hybrid RANS-LES eXtra Large Eddy Simulation (SST DX-LES) model for the simulation of turbulent flows. In particular, in the proposed model the Shear Stress Transport (SST) k-ω turbulence model replaces the TNT k-ω model, and a shielding function is introduced to avoid the Modelled Stress Depletion (MSD) and the related Grid-Induced Separation (GIS), typical of DES-like hybrid models. Moreover, a different definition of the filter is used, which blends the formula based on the maximum element spacing and element volume. The proposed hybrid model is implemented in the open-source CFD software OpenFOAM, calibrated, validated and assessed on several benchmark cases. The results are compared with both experimental data and reference numerical results. Simulations are performed also with the original X-LES model to spotlight the accuracy improvement.","PeriodicalId":56288,"journal":{"name":"International Journal of Computational Fluid Dynamics","volume":"189 1","pages":"441 - 464"},"PeriodicalIF":1.1000,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Fluid Dynamics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/10618562.2022.2152013","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MECHANICS","Score":null,"Total":0}
引用次数: 1

Abstract

This work presents a Delayed version of the hybrid RANS-LES eXtra Large Eddy Simulation (SST DX-LES) model for the simulation of turbulent flows. In particular, in the proposed model the Shear Stress Transport (SST) k-ω turbulence model replaces the TNT k-ω model, and a shielding function is introduced to avoid the Modelled Stress Depletion (MSD) and the related Grid-Induced Separation (GIS), typical of DES-like hybrid models. Moreover, a different definition of the filter is used, which blends the formula based on the maximum element spacing and element volume. The proposed hybrid model is implemented in the open-source CFD software OpenFOAM, calibrated, validated and assessed on several benchmark cases. The results are compared with both experimental data and reference numerical results. Simulations are performed also with the original X-LES model to spotlight the accuracy improvement.
复杂湍流的SST延迟eXtra-LES模型的实现与验证
这项工作提出了一个延迟版本的混合ranss - les超大涡模拟(SST DX-LES)模型,用于模拟湍流。特别是,在该模型中,剪切应力输运(SST) k-ω湍流模型取代了TNT k-ω模型,并引入屏蔽函数以避免模拟应力损耗(MSD)和相关的网格诱导分离(GIS),这是典型的des类混合模型。此外,使用了一种不同的过滤器定义,该定义将基于最大元素间距和元素体积的公式混合在一起。所提出的混合模型在开源CFD软件OpenFOAM中实现,并在几个基准案例上进行了校准、验证和评估。结果与实验数据和参考数值结果进行了比较。用原始的X-LES模型进行了仿真,以表明精度的提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.70
自引率
7.70%
发文量
25
审稿时长
3 months
期刊介绍: The International Journal of Computational Fluid Dynamics publishes innovative CFD research, both fundamental and applied, with applications in a wide variety of fields. The Journal emphasizes accurate predictive tools for 3D flow analysis and design, and those promoting a deeper understanding of the physics of 3D fluid motion. Relevant and innovative practical and industrial 3D applications, as well as those of an interdisciplinary nature, are encouraged.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信