Skip to main navigation Skip to search Skip to main content

Numerical simulation of flow past a circular and a square cylinder at high reynolds number

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Increasing the prediction accuracy and computational efficiency of turbulence models at high Reynolds number remains a challenging problem in Computational Fluid Dynamics (CFD). In this paper, several turbulence models are applied for numerical simulation of flow around a circular cylinder and a square cylinder at high Reynolds number. Wray-Agarwal (WA) turbulence model is a recently developed one-equation turbulence model derived from kk-ω closure. Comparisons are made among computational results from WA model, Spalart-Allmaras (SA) model, the shear stress transport (SST) kk-ω model and the standard kk-ω model. For circular cylinder, the computations are performed for Reynolds numbers Ree=6.7×1051×106and 3.6×106; the simulation for a square cylinder is performed at a Reynolds number 2.2×104The computed results are assessed against previous simulations and experimental measurements. Both circular and square geometries produce vortex wakes and oscillating lift and drag. According to the results, the new WA model is competitive in accuracy with the two-equation models and has computational efficiency of a one-equation model.

Original languageEnglish
Title of host publication47th AIAA Fluid Dynamics Conference, 2017
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105005
DOIs
StatePublished - 2017
Event47th AIAA Fluid Dynamics Conference, 2017 - Denver, United States
Duration: Jun 5 2017Jun 9 2017

Publication series

Name47th AIAA Fluid Dynamics Conference, 2017

Conference

Conference47th AIAA Fluid Dynamics Conference, 2017
Country/TerritoryUnited States
CityDenver
Period06/5/1706/9/17

Fingerprint

Dive into the research topics of 'Numerical simulation of flow past a circular and a square cylinder at high reynolds number'. Together they form a unique fingerprint.

Cite this