Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session D32: Applied CFD II
2:30 PM–4:40 PM,
Sunday, November 18, 2018
Georgia World Congress Center
Room: B404
Chair: Catherine Gorle, Stanford University
Abstract ID: BAPS.2018.DFD.D32.5
Abstract: D32.00005 : LES- and RANS-based Modeling of Coupled Flow & Mobile bed Evolution in a Natural River Under Various Flood-induced Turbulent Boundary Layers*
3:22 PM–3:35 PM
Presenter:
Ali Khosronejad
(State Univ of NY - Stony Brook)
Authors:
Ali Khosronejad
(State Univ of NY - Stony Brook)
Kevin Flora
(California Department of Transportation, California Department of Transportation)
Flow field and sediment transport in rivers under flood conditions are dominated by high-energy, large-scale, coherent structures. High-resolution numerical modeling provides a reliable tool to better understand the flow and bed morphodynamics interaction. The inlet turbulent boundary layers (TBL) used to prescribe the incoming turbulence in natural rivers can have crucial effects on the flow and sediment dynamics. We employ an in-house CURVIB code, the VFS-Geophysics, to systematically investigate the effect of various TBLs on the LES and unsteady RANS computed flow and morphodynamics of a 0.6km-long area of the Feather River in California under flood condition. We employ three different TBLs, including: a uniform flow, a precursor straight-channel flow simulation, and a precursor river-flow simulation in a 1km-long area of the river immediately upstream of the study area. The pre-flood bathymetry is utilized to produce the computational grid system of the river. While, the post-flood bed bathymetry served as a benchmark to validate the computed bed morphodynamcis calculations.
*This study is support by a grant from California Department of Transportation (Caltrans). Computational Resources are provided by the College of Engineering & Applied Sciences of Stony Brook University.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.D32.5
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