Technical Notes
Nov 20, 2012

Evaluation of Low Reynolds Number Turbulence Models for an Open-Channel Flow over a Rough Bed Using LES Data

Publication: Journal of Hydraulic Engineering
Volume 139, Issue 6

Abstract

There are quite a few studies investigating low Reynolds number turbulence models for predicting the near-wall flow over smooth walls. However, analogous work over rough walls is sparse despite the fact that many flows of practical interest, particularly in geophysical flows and hydraulic engineering, are over rough walls. This paper presents a priori and a posteriori evaluations of low Reynolds number Reynolds-averaged Navier-Stokes (RANS)–based modeling approaches for flows over rough walls with the help of high-resolution large-eddy simulation (LES) data. The LES data allow the calculation of the vertical distribution of the turbulent kinetic energy, the dissipation rate, the specific dissipation rate, and the turbulent eddy viscosity, so that the assumptions inherent of RANS-based turbulence models can be tested a priori. A posteriori testing of the models through RANS simulations showed that the three low Reynolds turbulence models evaluated in this paper provide a fairly accurate prediction of the velocity profile, turbulent eddy viscosity, and wall shear stress.

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Acknowledgments

The first author was supported by the National Science Foundation award # 0738690. CPU time was granted by NOTUR—The Norwegian Metacenter for Computational Science, which is gratefully acknowledged. The high-resolution LES was carried out on the njord supercomputer at the Norwegian University of Science and Technology, Trondheim, Norway.

References

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Published In

Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 139Issue 6June 2013
Pages: 664 - 668

History

Received: Sep 11, 2011
Accepted: Nov 16, 2012
Published online: Nov 20, 2012
Published in print: Jun 1, 2013

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Authors

Affiliations

Sandeep Bomminayuni [email protected]
School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332. E-mail: [email protected]
Thorsten Stoesser [email protected]
M.ASCE
School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332 (corresponding author). E-mail: [email protected]
Nils Reidar Boe Olsen [email protected]
M.ASCE
Dept. of Water and Environmental Engineering, The Norwegian Univ. of Science and Technology, S. P. Andersens vei 5, N-7491 Trondheim, Norway. E-mail: [email protected]

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