Investigation of flow structures in a turbulent separating flow using hybrid RANS-LES model
International Journal of Numerical Methods for Heat & Fluid Flow
ISSN: 0961-5539
Article publication date: 3 July 2017
Abstract
Purpose
Hybrid Reynolds-averaged Navier–Stokes large eddy simulation (RANS-LES) methods have become popular for simulation of massively separated flows at high Reynolds numbers due to their reduced computational cost and good accuracy. The current study aims to examine the performance of LES and hybrid RANS-LES model for a given grid resolution.
Design/methodology/approach
For better assessment and contrast of model performance, both mean and instantaneous flow fields have been investigated. For studying instantaneous flow, proper orthogonal decomposition has been used.
Findings
Current analysis shows that hybrid RANS-LES is capable of achieving similar accuracy in prediction of both mean and instantaneous flow fields at a very coarse grid as compared to LES.
Originality/value
Focusing mostly on the practical applications of computation, most of the attention has been given to the prediction of one-point flow statistics and little consideration has been put to two-point statistics. Here, two-point statistics has been considered using POD to investigate unsteady turbulent flow.
Keywords
Acknowledgements
Simulations are carried out on the computers provided by the Indian Institute of Technology Kanpur (IITK) (www.iitk.ac.in/cc) and the manuscript preparation as well as data analysis has been carried out using the resources available at IITK. This support is gratefully acknowledged. This paper is an invited contribution for the 10th International Symposium on Numerical Analysis of Fluid Flow and Heat Transfer – Numerical Fluids 2015, Rhodes, Greece.
Citation
Kumar, G., De, A. and Gopalan, H. (2017), "Investigation of flow structures in a turbulent separating flow using hybrid RANS-LES model", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 27 No. 7, pp. 1430-1450. https://doi.org/10.1108/HFF-03-2016-0134
Publisher
:Emerald Publishing Limited
Copyright © 2017, Emerald Publishing Limited