Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20370
Title: LES of incompressible heat and fluid flows past a square cylinder at high Reynolds numbers
Authors: Li, Y
Chan, CK 
Mei, B
Zhu, Z
Keywords: Incompressible heat and fluid flows
Square cylinder wake flow
Sub-grid viscosity ratio
Swirling strength
Vortex interaction
Issue Date: 2015
Publisher: Taylor and Francis Ltd.
Source: International journal of computational fluid dynamics, 2015, v. 29, 5 March, p. 272-285 How to cite?
Journal: International Journal of Computational Fluid Dynamics 
Abstract: This paper presents large eddy simulation (LES) results of incompressible heat and fluid flows around a square cylinder (SC) at zero incident angle at high Reynolds numbers (Re) in the range from 1.25×10[5] to 3.5×10[5]. LES results are obtained on the basis of swirling strength based sub-grid model, and a higher order upwind scheme developed with respect to the Taylor expansion. It was found that, for the zero incident SC wake flows at a Reynolds number in the range {Re5 = Re/10[5] ∈ [1.25, 3.5]}, the Strouhal number equals to 0.1079, completely independent of the Reynolds number; the coefficient of drag is around 1.835 with an uncertainty of about 1.9%, almost non-sensitive to the Re. When Re is beyond 3.0×10[5], the time-averaged peak value of sub-grid viscosity is over 340, implying that the role of sub-grid model is crucial in some regions where vortex motion is active and vortex interaction is intense. The time–spanwise (t-z) averaged sub-grid viscosity ratio profiles and the profiles of fluctuations of the sub-grid viscosity ratio and velocity components at four locations downstream of the SC are presented. The fields of the t-z averaged sub-grid viscosity ratio, and the instantaneous fields of streamwise and spanwise vorticities are also reported and discussed. The predicted mean Nusselt number is compared with empirical correlations, revealing that swirling strength based LES has its potential in predicting natural and industrial flows.
URI: http://hdl.handle.net/10397/20370
ISSN: 1061-8562
DOI: 10.1080/10618562.2015.1058373
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