Computational modeling of flow and sediment transport and deposition in meandering rivers |
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| Institution: | 1. Department of Mechanical and Aeronautical Engineering, Clarkson University, Box 5725 Camp Building, Potsdam, NY 13699-5725, USA;2. National Energy Technology Laboratory, U.S. Department of Energy, Morgantown, WV 26507-0880, USA;1. Multiphase and Reacting Flow Lab, Faculty of Mechanical Engineering, K.N. Toosi University of Technology, Iran;2. In Sabbatical Leave in Department of Mechanical and Industrial Engineering, Faculty of Applied Science and Engineering, University of Toronto, Canada;1. State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China;2. School of Geography, The University of Melbourne, Victoria 3010, Australia;3. Shanghai Waterway Engineering Design and Consulting Company Limited, Shanghai 200062, China;1. Institute of Water Management, Hydrology and Hydraulic Engineering, Department of Water, Atmosphere and Environment, University of Natural Resources and Life Sciences (BOKU), Muthgasse 18, 1190 Vienna, Austria;2. Research Center of Hydraulic Engineering, Institute of Hydraulic Engineering and Water Resources Management, Faculty of Civil Engineering, Technical University Vienna (TUW), 1040 Vienna, Austria |
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| Abstract: | A computational modeling analysis of the flow and sediment transport, and deposition in meandering-river models was performed. The Reynolds stress transport model of the FLUENTTM code was used for evaluating the river flow characteristics, including the mean velocity field and the Reynolds stress components. The simulation results were compared with the available experimental data of the river model and discussed. The Lagrangian tracking of individual particles was performed, and the transport and deposition of particles of various sizes in the meandering river were analyzed. Particular attention was given to the sedimentation patterns of different size particles in the river-bend model. The flow patterns in a physical river were also studied. A Froude number based scale ratio of 1:100 was used, and the flow patterns in the physical and river models are compared. The result shows that the mean-flow quantities exhibit dynamic similarity, but the turbulence parameters of the physical river are different from the model. More strikingly, the particle sedimentation features in the physical and river models do not obey the expected similarity scaling. |
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