From Two-Equation Turbulence Models to Minimal Error Resolving Simulation Methods for Complex Turbulent Flows

Hybrid RANS-LES methods are supposed to provide major contributions to future turbulent flow simulations, in particular for reliable flow predictions under conditions where validation data are unavailable. However, existing hybrid RANS-LES methods suffer from essential problems. A solution to these...
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Autor*in:	Stefan Heinz [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	computational fluid dynamics (CFD) large eddy simulation (LES) Reynolds-averaged Navier–Stokes (RANS) equations hybrid RANS-LES methods

Übergeordnetes Werk:	In: Fluids - MDPI AG, 2016, 7(2022), 12, p 368
Übergeordnetes Werk:	volume:7 ; year:2022 ; number:12, p 368

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/fluids7120368

Katalog-ID:	DOAJ083176837

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source	In Fluids 7(2022), 12, p 368 volume:7 year:2022 number:12, p 368
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callnumber-first	Q - Science
author	Stefan Heinz
spellingShingle	Stefan Heinz misc QC310.15-319 misc QC120-168.85 misc computational fluid dynamics (CFD) misc large eddy simulation (LES) misc Reynolds-averaged Navier–Stokes (RANS) equations misc hybrid RANS-LES methods misc Thermodynamics misc Descriptive and experimental mechanics From Two-Equation Turbulence Models to Minimal Error Resolving Simulation Methods for Complex Turbulent Flows
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topic_title	QC310.15-319 QC120-168.85 From Two-Equation Turbulence Models to Minimal Error Resolving Simulation Methods for Complex Turbulent Flows computational fluid dynamics (CFD) large eddy simulation (LES) Reynolds-averaged Navier–Stokes (RANS) equations hybrid RANS-LES methods
topic	misc QC310.15-319 misc QC120-168.85 misc computational fluid dynamics (CFD) misc large eddy simulation (LES) misc Reynolds-averaged Navier–Stokes (RANS) equations misc hybrid RANS-LES methods misc Thermodynamics misc Descriptive and experimental mechanics
topic_unstemmed	misc QC310.15-319 misc QC120-168.85 misc computational fluid dynamics (CFD) misc large eddy simulation (LES) misc Reynolds-averaged Navier–Stokes (RANS) equations misc hybrid RANS-LES methods misc Thermodynamics misc Descriptive and experimental mechanics
topic_browse	misc QC310.15-319 misc QC120-168.85 misc computational fluid dynamics (CFD) misc large eddy simulation (LES) misc Reynolds-averaged Navier–Stokes (RANS) equations misc hybrid RANS-LES methods misc Thermodynamics misc Descriptive and experimental mechanics
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title	From Two-Equation Turbulence Models to Minimal Error Resolving Simulation Methods for Complex Turbulent Flows
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title_full	From Two-Equation Turbulence Models to Minimal Error Resolving Simulation Methods for Complex Turbulent Flows
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author-letter	Stefan Heinz
doi_str_mv	10.3390/fluids7120368
title_sort	from two-equation turbulence models to minimal error resolving simulation methods for complex turbulent flows
callnumber	QC310.15-319
title_auth	From Two-Equation Turbulence Models to Minimal Error Resolving Simulation Methods for Complex Turbulent Flows
abstract	Hybrid RANS-LES methods are supposed to provide major contributions to future turbulent flow simulations, in particular for reliable flow predictions under conditions where validation data are unavailable. However, existing hybrid RANS-LES methods suffer from essential problems. A solution to these problems is presented as a generalization of previously introduced continuous eddy simulation (CES) methods. These methods, obtained by relatively minor extensions of standard two-equation turbulence models, represent minimal error simulation methods. An essential observation presented here is that minimal error methods for incompressible flows can be extended to stratified and compressible flows, which opens the way to addressing relevant atmospheric science problems (mesoscale to microscale coupling) and aerospace problems (supersonic or hypersonic flow predictions). It is also reported that minimal error methods can provide valuable contributions to the design of consistent turbulence models under conditions of significant modeling uncertainties.
abstractGer	Hybrid RANS-LES methods are supposed to provide major contributions to future turbulent flow simulations, in particular for reliable flow predictions under conditions where validation data are unavailable. However, existing hybrid RANS-LES methods suffer from essential problems. A solution to these problems is presented as a generalization of previously introduced continuous eddy simulation (CES) methods. These methods, obtained by relatively minor extensions of standard two-equation turbulence models, represent minimal error simulation methods. An essential observation presented here is that minimal error methods for incompressible flows can be extended to stratified and compressible flows, which opens the way to addressing relevant atmospheric science problems (mesoscale to microscale coupling) and aerospace problems (supersonic or hypersonic flow predictions). It is also reported that minimal error methods can provide valuable contributions to the design of consistent turbulence models under conditions of significant modeling uncertainties.
abstract_unstemmed	Hybrid RANS-LES methods are supposed to provide major contributions to future turbulent flow simulations, in particular for reliable flow predictions under conditions where validation data are unavailable. However, existing hybrid RANS-LES methods suffer from essential problems. A solution to these problems is presented as a generalization of previously introduced continuous eddy simulation (CES) methods. These methods, obtained by relatively minor extensions of standard two-equation turbulence models, represent minimal error simulation methods. An essential observation presented here is that minimal error methods for incompressible flows can be extended to stratified and compressible flows, which opens the way to addressing relevant atmospheric science problems (mesoscale to microscale coupling) and aerospace problems (supersonic or hypersonic flow predictions). It is also reported that minimal error methods can provide valuable contributions to the design of consistent turbulence models under conditions of significant modeling uncertainties.
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title_short	From Two-Equation Turbulence Models to Minimal Error Resolving Simulation Methods for Complex Turbulent Flows
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