An Overview of Hybrid RANS–LES Models Developed for Industrial CFD

An overview of scale-resolving simulation (SRS) methods used in ANSYS Computational Fluid Dynamics (CFD) software is provided. The main challenges, especially when computing boundary layers in large eddy simulation (LES) mode, will be discussed. The different strategies for handling wall-bound flows...

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Main Authors: Florian Menter, Andreas Hüppe, Alexey Matyushenko, Dmitry Kolmogorov
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/6/2459
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spelling doaj-fb0f676e85584244bc6884bfc7a899b52021-03-11T00:01:47ZengMDPI AGApplied Sciences2076-34172021-03-01112459245910.3390/app11062459An Overview of Hybrid RANS–LES Models Developed for Industrial CFDFlorian Menter0Andreas Hüppe1Alexey Matyushenko2Dmitry Kolmogorov3ANSYS Germany GmbH, Staudenfeldweg 20, 83624 Warngau, GermanyANSYS Germany GmbH, Staudenfeldweg 20, 83624 Warngau, GermanyPeter the Great St. Petersburg Polytechnic University (SPbPU), Laboratory of Computational Aeroacoustics and Turbulence, Polytechnicheskaya, 29, 195251 St. Petersburg, RussiaPeter the Great St. Petersburg Polytechnic University (SPbPU), Laboratory of Computational Aeroacoustics and Turbulence, Polytechnicheskaya, 29, 195251 St. Petersburg, RussiaAn overview of scale-resolving simulation (SRS) methods used in ANSYS Computational Fluid Dynamics (CFD) software is provided. The main challenges, especially when computing boundary layers in large eddy simulation (LES) mode, will be discussed. The different strategies for handling wall-bound flows using combinations of RANS and LES models will be explained, along with some specific application examples. It will be demonstrated that the stress-blended eddy simulation (SBES) approach is optimal for applications with a mix of boundary layers and free shear flows due to its low cost and its ability to handle boundary layers in both RANS and wall-modeled LES (WMLES) modes.https://www.mdpi.com/2076-3417/11/6/2459turbulence modelingscale-resolving simulations (SRS)hybrid RANS–LES methodsstress-blended eddy simulation (SBES)generalized k-ω (GEKO)
collection DOAJ
language English
format Article
sources DOAJ
author Florian Menter
Andreas Hüppe
Alexey Matyushenko
Dmitry Kolmogorov
spellingShingle Florian Menter
Andreas Hüppe
Alexey Matyushenko
Dmitry Kolmogorov
An Overview of Hybrid RANS–LES Models Developed for Industrial CFD
Applied Sciences
turbulence modeling
scale-resolving simulations (SRS)
hybrid RANS–LES methods
stress-blended eddy simulation (SBES)
generalized k-ω (GEKO)
author_facet Florian Menter
Andreas Hüppe
Alexey Matyushenko
Dmitry Kolmogorov
author_sort Florian Menter
title An Overview of Hybrid RANS–LES Models Developed for Industrial CFD
title_short An Overview of Hybrid RANS–LES Models Developed for Industrial CFD
title_full An Overview of Hybrid RANS–LES Models Developed for Industrial CFD
title_fullStr An Overview of Hybrid RANS–LES Models Developed for Industrial CFD
title_full_unstemmed An Overview of Hybrid RANS–LES Models Developed for Industrial CFD
title_sort overview of hybrid rans–les models developed for industrial cfd
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2021-03-01
description An overview of scale-resolving simulation (SRS) methods used in ANSYS Computational Fluid Dynamics (CFD) software is provided. The main challenges, especially when computing boundary layers in large eddy simulation (LES) mode, will be discussed. The different strategies for handling wall-bound flows using combinations of RANS and LES models will be explained, along with some specific application examples. It will be demonstrated that the stress-blended eddy simulation (SBES) approach is optimal for applications with a mix of boundary layers and free shear flows due to its low cost and its ability to handle boundary layers in both RANS and wall-modeled LES (WMLES) modes.
topic turbulence modeling
scale-resolving simulations (SRS)
hybrid RANS–LES methods
stress-blended eddy simulation (SBES)
generalized k-ω (GEKO)
url https://www.mdpi.com/2076-3417/11/6/2459
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