Safarzadeh, A. and Brevis, W. (2016) Assessment of 3D-RANS models for the simulation of topographically forced shallow flows. Journal of Hydrology and Hydromechanics, 64 (1). pp. 83-90. ISSN 0042-790X
Abstract
In this work the performance of Reynolds Averaged Navier-Stokes (RANS) simulations to predict the flow structure developed by the presence of a sidewall obstacle in a uniform open-channel shallow flow is discussed. The tested geometry was selected due to its important role in several fluvial applications, such as the control of riverbank erosion and the creation of improved ecological conditions in river restoration applications. The results are compared against experimental laboratory velocity fields obtained after Large Scale Particle Image Velocimetry (LSPIV) measurements. It is shown that the length of reattachment of the separated shear layer generated by the obstacle is well predicted by a Reynolds Stress Model, while classical two-equation models show important limitations. All the performed RANS simulations are unable to properly predict the formation of a secondary gyre region, which develops immediately downstream the obstacle.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Akbar Safarzadeh et al., published by De Gruyter Open. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
Keywords: | Shallow flow; RANS; SPIV; Side obstacle; Shear layer; Turbulence |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Feb 2016 13:12 |
Last Modified: | 08 Feb 2016 13:12 |
Published Version: | http://dx.doi.org/10.1515/johh-2016-0008 |
Status: | Published |
Publisher: | De Gruyter Open |
Refereed: | Yes |
Identification Number: | 10.1515/johh-2016-0008 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:94798 |