Numerical modeling of converging compound channel flow

Naik, B, Khatua, KK, Wright, N ORCID: https://orcid.org/0000-0002-1289-2830, Sleigh, A and Singh, P, 2018. Numerical modeling of converging compound channel flow. ISH Journal of Hydraulic Engineering, 24 (3), pp. 285-297. ISSN 0971-5010

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Abstract

This paper presents numerical analysis for prediction of depth-averaged velocity distribution of compound channels with converging flood plains. Firstly, a 3D Computational Fluid Dynamics model is used to establish the basic database under various working conditions. Numerical simulation in two phases is performed using the ANSYS-Fluent software. k-ω turbulence model is executed to solve the basic governing equations. The results have been compared with high-quality flume measurements obtained from different converging compound channels in order to investigate the numerical accuracy. Then Artificial Neural Network are trained based on the Back Propagation Neural Network technique for depth-averaged velocity prediction in different converging sections and these test results are compared with each other and with actual data. The study has focused on the ability of the software to correctly predict the complex flow phenomena that occur in channel flows.

Item Type:	Journal article
Publication Title:	ISH Journal of Hydraulic Engineering
Creators:	Naik, B., Khatua, K.K., Wright, N., Sleigh, A. and Singh, P.
Publisher:	Taylor & Francis
Date:	2018
Volume:	24
Number:	3
ISSN:	0971-5010
Identifiers:	Number Type 10.1080/09715010.2017.1369180 DOI
Divisions:	Professional Services > The Directorate
Record created by:	Linda Sullivan
Date Added:	26 Oct 2018 14:49
Last Modified:	26 Oct 2018 14:49
URI:	https://irep.ntu.ac.uk/id/eprint/34765

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