On the prediction capabilities of two SGS models for large-eddy simulations of turbulent incompressible wall-bounded flows in OpenFOAM

A comprehensive evaluation of the prediction capabilities of two Sub-Grid-Scale (SGS) models, for Large-Eddy Simulations (LES) of incompressible turbulent flows, is performed by studying two cases of flows through wall-bounded domains: a standard smooth-wall channel and a channel featuring fixed geo...

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Autores principales:	Jesus Ramirez-Pastran, Carlos Duque-Daza
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2019
Materias:	turbulence large-eddy simulations sub-grid scale models openfoam Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/accb22e158eb4cf787686ab118878914
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spelling	oai:doaj.org-article:accb22e158eb4cf787686ab1188789142021-11-04T15:51:56ZOn the prediction capabilities of two SGS models for large-eddy simulations of turbulent incompressible wall-bounded flows in OpenFOAM2331-191610.1080/23311916.2019.1679067https://doaj.org/article/accb22e158eb4cf787686ab1188789142019-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311916.2019.1679067https://doaj.org/toc/2331-1916A comprehensive evaluation of the prediction capabilities of two Sub-Grid-Scale (SGS) models, for Large-Eddy Simulations (LES) of incompressible turbulent flows, is performed by studying two cases of flows through wall-bounded domains: a standard smooth-wall channel and a channel featuring fixed geometrical perturbations in its bottom wall. The SGS models were computationally implemented in OpenFOAM’s framework and numerical results have been evaluated using available DNS data of turbulent flow in the standard channel flow case at four different friction Reynolds numbers, i.e. Reτ =180, 395, 550 and 950. A number of well-known features were employed to judge about the reliability of the selected SGS models in the standard channel case, including: mean flow velocity profiles, ensemble averages of first and second-order turbulent statistics, and profiles of TKE. One of the SGS models was employed to explore the second case, a flow with high levels of strain and formation of large-scale vortical structures induced by cavities and/or ribs-like protuberances in one of the boundaries. Our numerical experiments show that both SGS models exhibit good quantitative and qualitatively agreement with most of the important flow features in both wall-bounded flows considered, although the attained levels of accuracy exhibited a mesh-resolution dependency. In the non-smooth-wall case, the selected SGS model was able to successfully capture, in accurate manner, effects as turbulence modulation and changes of the skin friction coefficient. It is clear that the implementations of the SGS models were successful in predicting the turbulent behaviour of the selected flow cases.Jesus Ramirez-PastranCarlos Duque-DazaTaylor & Francis Grouparticleturbulencelarge-eddy simulationssub-grid scale modelsopenfoamEngineering (General). Civil engineering (General)TA1-2040ENCogent Engineering, Vol 6, Iss 1 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	turbulence large-eddy simulations sub-grid scale models openfoam Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	turbulence large-eddy simulations sub-grid scale models openfoam Engineering (General). Civil engineering (General) TA1-2040 Jesus Ramirez-Pastran Carlos Duque-Daza On the prediction capabilities of two SGS models for large-eddy simulations of turbulent incompressible wall-bounded flows in OpenFOAM
description	A comprehensive evaluation of the prediction capabilities of two Sub-Grid-Scale (SGS) models, for Large-Eddy Simulations (LES) of incompressible turbulent flows, is performed by studying two cases of flows through wall-bounded domains: a standard smooth-wall channel and a channel featuring fixed geometrical perturbations in its bottom wall. The SGS models were computationally implemented in OpenFOAM’s framework and numerical results have been evaluated using available DNS data of turbulent flow in the standard channel flow case at four different friction Reynolds numbers, i.e. Reτ =180, 395, 550 and 950. A number of well-known features were employed to judge about the reliability of the selected SGS models in the standard channel case, including: mean flow velocity profiles, ensemble averages of first and second-order turbulent statistics, and profiles of TKE. One of the SGS models was employed to explore the second case, a flow with high levels of strain and formation of large-scale vortical structures induced by cavities and/or ribs-like protuberances in one of the boundaries. Our numerical experiments show that both SGS models exhibit good quantitative and qualitatively agreement with most of the important flow features in both wall-bounded flows considered, although the attained levels of accuracy exhibited a mesh-resolution dependency. In the non-smooth-wall case, the selected SGS model was able to successfully capture, in accurate manner, effects as turbulence modulation and changes of the skin friction coefficient. It is clear that the implementations of the SGS models were successful in predicting the turbulent behaviour of the selected flow cases.
format	article
author	Jesus Ramirez-Pastran Carlos Duque-Daza
author_facet	Jesus Ramirez-Pastran Carlos Duque-Daza
author_sort	Jesus Ramirez-Pastran
title	On the prediction capabilities of two SGS models for large-eddy simulations of turbulent incompressible wall-bounded flows in OpenFOAM
title_short	On the prediction capabilities of two SGS models for large-eddy simulations of turbulent incompressible wall-bounded flows in OpenFOAM
title_full	On the prediction capabilities of two SGS models for large-eddy simulations of turbulent incompressible wall-bounded flows in OpenFOAM
title_fullStr	On the prediction capabilities of two SGS models for large-eddy simulations of turbulent incompressible wall-bounded flows in OpenFOAM
title_full_unstemmed	On the prediction capabilities of two SGS models for large-eddy simulations of turbulent incompressible wall-bounded flows in OpenFOAM
title_sort	on the prediction capabilities of two sgs models for large-eddy simulations of turbulent incompressible wall-bounded flows in openfoam
publisher	Taylor & Francis Group
publishDate	2019
url	https://doaj.org/article/accb22e158eb4cf787686ab118878914
work_keys_str_mv	AT jesusramirezpastran onthepredictioncapabilitiesoftwosgsmodelsforlargeeddysimulationsofturbulentincompressiblewallboundedflowsinopenfoam AT carlosduquedaza onthepredictioncapabilitiesoftwosgsmodelsforlargeeddysimulationsofturbulentincompressiblewallboundedflowsinopenfoam
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On the prediction capabilities of two SGS models for large-eddy simulations of turbulent incompressible wall-bounded flows in OpenFOAM

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