Abstract
This study presents the results obtained from the numerical simulation on turbulent flows around a single groin for different orientations. Here iRIC Nays2DH, which is based on 2D model, is used to simulate the flows in a straight open channel with groin of 45°, 90°, and 135° angled with the approaching flow. A depth-averaged k-ε model is used as turbulence closure model with finite differential advections as upwind scheme. The numerical results of velocity and bed shear stress profiles are compared with the available experimental data. Good agreements are found between experimental and calculated results. From the simulation, it is observed that the peak of velocity and bed shear stress is maximum at the position of head of groin when lateral distance y/l=1, where l is the groin length. The position of maximum velocity and bed shear stress is found to be shifted towards downstream with increasing y/l. The maximum velocity and bed shear stress for 135° groin are found lower than the other two cases for all the sections of y/l.
Highlights
The simulation of water flow and sediment transport in rivers has been the subject of many researches in the field of hydraulics and river engineering [1]
The flow field is seen to be divided into four distinct regions: (i) the uniform flow at upstream end, (ii) big circulation of low velocity zone at the downstream of the groin created due to sheltering of groin where the velocity
Four distinct flow regions as described in velocity contour are clearly visible in the contour of shear stress. This simulation has provided us with detailed information regarding the flow pattern, the velocity, and bed shear stress profiles of a groin
Summary
The simulation of water flow and sediment transport in rivers has been the subject of many researches in the field of hydraulics and river engineering [1]. It is well known that the RANS (Reynolds Averaged Navier-Stokes) type turbulence models, such as two-equation model or Reynolds stress model, are the most popular tool used for practical engineering applications [8,9,10]. Because it requires less CPU time and computer memory compared to LES and DNS. Note that PkV and PεV are calculated with the following equations: PkV
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