Application of the Shiono and Knight Model in asymmetric compound channels with smooth and rough narrow floodplains

Alawadi, WAAK, Salim, O and Prasad, TD 2018, Application of the Shiono and Knight Model in asymmetric compound channels with smooth and rough narrow floodplains , in: 2nd International Conference on Structural and Civil Engineering (ICSCE), 26th-28th September 2018, University of Lisbon, Portugal.

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Abstract

Shiono and Knight Model (SKM) is one of the most popular models which is often used for simulating the flows in compound channels with wide floodplains. The model accounts for the effects of bed friction, lateral turbulence and secondary flows, via three key parameters f, λ & Γ respectively. These parameters must be carefully calibrated to obtain accurate predictions. In this study, the application of SKM to an asymmetric compound channel with a narrow floodplain is examined in terms of the calibration requirements. Two sets of experiments that have smooth and rough floodplain and different flow depths are conducted and then simulated by SKM. In smooth floodplain cases, the results reveal that SKM model with the conventional calibration expressions of f, λ and Г is reasonably capable of predicting the distributions of depth-averaged velocity and boundary shear stress in the main channel. However, in the floodplain region, the expressions recommended for calibrating Г need to be modified to improve the predicted results in that region. In cases of the rough floodplain, the results indicate that the lateral shearing is dominant over the secondary flow, so only the values λ in the main channel need to be changed from its conventional values to improve the predictions.

Item Type: Conference or Workshop Item (Paper)
Contributors: Tumula, DP (Supervisor)
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: 2nd International Conference on Structural and Civil Engineering (ICSCE 2018)
Publisher: University of Lisbon, Portugal
Depositing User: DP Tumula
Date Deposited: 23 Dec 2019 12:19
Last Modified: 23 Dec 2019 12:30
URI: http://usir.salford.ac.uk/id/eprint/56083

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