Improved Supersonic Turbulent Flow Characteristics Using Non-Linear Eddy Viscosity Relation in RANS and HPC-Enabled LES

A majority of the eddy viscosity models for supersonic turbulent flow are based on linear relationship between Reynolds stresses and mean strain rate. The validity of these models can be improved by introducing non-linearity in relation as RANS models offer advantages in terms of reduced turnaround...

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Autores principales:	Kalyani Bhide, Kiran Siddappaji, Shaaban Abdallah, Kurt Roberts
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	LES turbulent kinetic energy production quadratic constitutive relation anisotropy retropropulsion Motor vehicles. Aeronautics. Astronautics TL1-4050
Acceso en línea:	https://doaj.org/article/179718c727fe479798c7e6d1d14ba1e0
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id	oai:doaj.org-article:179718c727fe479798c7e6d1d14ba1e0
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spelling	oai:doaj.org-article:179718c727fe479798c7e6d1d14ba1e02021-11-25T15:57:49ZImproved Supersonic Turbulent Flow Characteristics Using Non-Linear Eddy Viscosity Relation in RANS and HPC-Enabled LES10.3390/aerospace81103522226-4310https://doaj.org/article/179718c727fe479798c7e6d1d14ba1e02021-11-01T00:00:00Zhttps://www.mdpi.com/2226-4310/8/11/352https://doaj.org/toc/2226-4310A majority of the eddy viscosity models for supersonic turbulent flow are based on linear relationship between Reynolds stresses and mean strain rate. The validity of these models can be improved by introducing non-linearity in relation as RANS models offer advantages in terms of reduced turnaround times typical of industry applications. With these benefits, the present work utilizes quadratic constitutive relation (QCR) with Menter’s k omega SST model to characterize the flowfield of rectangular jets. The sensitivity of this model with QCR, weighted towards diffusion, dissipation, and a combination of both, is addressed. Viscous large eddy simulations (LES) with WALE subgrid scale models are employed for qualitative comparisons using a commercial solver. Massively parallel LES are enabled by the new in-house 1088-core computing cluster at the University of Cincinnati and are also used for benchmarking. The nearfield results are validated with available experimental data and show good agreement in both fidelities. Flow characteristics, including the shear layer profiles, Reynolds stresses, and turbulence kinetic energy (TKE) and its production are compared. LES reveal higher TKE production in the regions with highest Reynolds stresses. It is comparatively lower in QCR RANS. As a special case of TKE analysis in jets, a preliminary investigation of retropropulsion is outlined for rectangular nozzles for the first time. Improved flow behavior by implementation of a non-linear relationship between Reynolds stresses and mean strain rate is demonstrated.Kalyani BhideKiran SiddappajiShaaban AbdallahKurt RobertsMDPI AGarticleLESturbulent kinetic energy productionquadratic constitutive relationanisotropyretropropulsionMotor vehicles. Aeronautics. AstronauticsTL1-4050ENAerospace, Vol 8, Iss 352, p 352 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	LES turbulent kinetic energy production quadratic constitutive relation anisotropy retropropulsion Motor vehicles. Aeronautics. Astronautics TL1-4050
spellingShingle	LES turbulent kinetic energy production quadratic constitutive relation anisotropy retropropulsion Motor vehicles. Aeronautics. Astronautics TL1-4050 Kalyani Bhide Kiran Siddappaji Shaaban Abdallah Kurt Roberts Improved Supersonic Turbulent Flow Characteristics Using Non-Linear Eddy Viscosity Relation in RANS and HPC-Enabled LES
description	A majority of the eddy viscosity models for supersonic turbulent flow are based on linear relationship between Reynolds stresses and mean strain rate. The validity of these models can be improved by introducing non-linearity in relation as RANS models offer advantages in terms of reduced turnaround times typical of industry applications. With these benefits, the present work utilizes quadratic constitutive relation (QCR) with Menter’s k omega SST model to characterize the flowfield of rectangular jets. The sensitivity of this model with QCR, weighted towards diffusion, dissipation, and a combination of both, is addressed. Viscous large eddy simulations (LES) with WALE subgrid scale models are employed for qualitative comparisons using a commercial solver. Massively parallel LES are enabled by the new in-house 1088-core computing cluster at the University of Cincinnati and are also used for benchmarking. The nearfield results are validated with available experimental data and show good agreement in both fidelities. Flow characteristics, including the shear layer profiles, Reynolds stresses, and turbulence kinetic energy (TKE) and its production are compared. LES reveal higher TKE production in the regions with highest Reynolds stresses. It is comparatively lower in QCR RANS. As a special case of TKE analysis in jets, a preliminary investigation of retropropulsion is outlined for rectangular nozzles for the first time. Improved flow behavior by implementation of a non-linear relationship between Reynolds stresses and mean strain rate is demonstrated.
format	article
author	Kalyani Bhide Kiran Siddappaji Shaaban Abdallah Kurt Roberts
author_facet	Kalyani Bhide Kiran Siddappaji Shaaban Abdallah Kurt Roberts
author_sort	Kalyani Bhide
title	Improved Supersonic Turbulent Flow Characteristics Using Non-Linear Eddy Viscosity Relation in RANS and HPC-Enabled LES
title_short	Improved Supersonic Turbulent Flow Characteristics Using Non-Linear Eddy Viscosity Relation in RANS and HPC-Enabled LES
title_full	Improved Supersonic Turbulent Flow Characteristics Using Non-Linear Eddy Viscosity Relation in RANS and HPC-Enabled LES
title_fullStr	Improved Supersonic Turbulent Flow Characteristics Using Non-Linear Eddy Viscosity Relation in RANS and HPC-Enabled LES
title_full_unstemmed	Improved Supersonic Turbulent Flow Characteristics Using Non-Linear Eddy Viscosity Relation in RANS and HPC-Enabled LES
title_sort	improved supersonic turbulent flow characteristics using non-linear eddy viscosity relation in rans and hpc-enabled les
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/179718c727fe479798c7e6d1d14ba1e0
work_keys_str_mv	AT kalyanibhide improvedsupersonicturbulentflowcharacteristicsusingnonlineareddyviscosityrelationinransandhpcenabledles AT kiransiddappaji improvedsupersonicturbulentflowcharacteristicsusingnonlineareddyviscosityrelationinransandhpcenabledles AT shaabanabdallah improvedsupersonicturbulentflowcharacteristicsusingnonlineareddyviscosityrelationinransandhpcenabledles AT kurtroberts improvedsupersonicturbulentflowcharacteristicsusingnonlineareddyviscosityrelationinransandhpcenabledles
_version_	1718413364530511872

Improved Supersonic Turbulent Flow Characteristics Using Non-Linear Eddy Viscosity Relation in RANS and HPC-Enabled LES

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