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Article

Capturing Reynolds number effects in the periodic hill flow by using LES with anisotropy-resolving sub-grid scale model

Authors: Montecchia, M.M., Wallin, S.W., Brethouwer, G.B., Johansson, A.V.J.
Document Type: Conference
Pubstate: Published
Journal: 11th International Symposium on Turbulence and Shear Flow Phenomena (TSFP-11)
Volume:   
Year: 2019

Abstract

Wall resolved large-eddy simulation (LES) is often restricted by excessive resolution requirements and Reynoldsnumber scaling. A considerable reduction of computational resources is achievable by employing the Explicit Algebraic subgrid scale model (EAM) (Marstorp et al. (2009)). The Explicit Algebraic subgrid scale model (EAM) has been extensively tested in wall-resolved large-eddy simulation (LES) applications and its performance has been proven by the works of Rasam et al. (2014) and Montecchia et al. (2017). The latter paper explains that the use of the EAM allows for a reduction of computational resources in a pseudo-spectral code. The same findings has been confirmed by using finite-volume codes, as described by Rasam. LES with EAM has been also tested on the opensource code OpenFOAM, for the channel flow geometry, by adopting a numerical technique that reduces the amount of numerical dissipation caused by the use of the Rhie & Chow interpolation. LES of periodic hill is carried out using OpenFOAM with the EAM and a low-diffusive implementation that has been previously tested on a turbulent channel flow. The aim of the present study is to evaluate in a broad sense the influence of the Reynolds number on the flow quantities. The work of K¨ahler et al. (2016) et al. comprises an experimental investigation of the separated flow in a channel with streamwise periodic constrictions, showing that the length of the separation bubble is reduced with increasing Reynolds number. In the same spirit, the study proposed here aims to investigate the possibility to capture this Reynolds number dependence with LES by using the novel numerical procedure in OpenFOAM with the EAM SGS model.