Assessment of RANS, LES, and hybrid RANS/LES models for the prediction of low-PR turbulent flows

S. Bhushan, O. ElFajri, W. D. Jock, D. K. Walters, J. K. Lai, Y. A. Hassan, R. Brian Jackson, A. Obabko, E. Merzari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The predictive capability of RANS, hybrid RANS/LES and LES turbulence models for momentum and thermal energy transfer in wall bounded low-Pr turbulent flows is investigated. Plane channel flow simulations are performed for Re = 150 and 640 for Pr = 0.025 and 0.71 with and without buoyancy effects, including both forced and mixed force/natural convection conditions, using the open source spectral element flow solver Nek5000. The prediction of one-point velocity and temperature statistics from the simulations are compared against available DNS results. Results are analyzed to understand the effect of flow conditions on turbulent thermal transport, and assess the relative strengths and weaknesses of the different modeling methods.

Original languageEnglish (US)
Title of host publicationFlow Manipulation and Active Control; Bio-Inspired Fluid Mechanics; Boundary Layer and High-Speed Flows; Fluids Engineering Education; Transport Phenomena in Energy Conversion and Mixing; Turbulent Flows; Vortex Dynamics; DNS/LES and Hybrid RANS/LES Methods; Fluid Structure Interaction; Fluid Dynamics of Wind Energy; Bubble, Droplet, and Aerosol Dynamics
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791851555
DOIs
StatePublished - Jan 1 2018
EventASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting, FEDSM 2018 - Montreal, Canada
Duration: Jul 15 2018Jul 20 2018

Publication series

NameAmerican Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM
Volume1
ISSN (Print)0888-8116

Conference

ConferenceASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting, FEDSM 2018
CountryCanada
CityMontreal
Period7/15/187/20/18

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

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    Bhushan, S., ElFajri, O., Jock, W. D., Walters, D. K., Lai, J. K., Hassan, Y. A., Brian Jackson, R., Obabko, A., & Merzari, E. (2018). Assessment of RANS, LES, and hybrid RANS/LES models for the prediction of low-PR turbulent flows. In Flow Manipulation and Active Control; Bio-Inspired Fluid Mechanics; Boundary Layer and High-Speed Flows; Fluids Engineering Education; Transport Phenomena in Energy Conversion and Mixing; Turbulent Flows; Vortex Dynamics; DNS/LES and Hybrid RANS/LES Methods; Fluid Structure Interaction; Fluid Dynamics of Wind Energy; Bubble, Droplet, and Aerosol Dynamics (American Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM; Vol. 1). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/FEDSM2018-83307