Technical Notes
Oct 8, 2020

Expert System for Determining Discharge Coefficients for Inclined Slide Gates Using Genetic Programming

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Publication: Journal of Irrigation and Drainage Engineering
Volume 146, Issue 12

Abstract

Slide gates are commonly used to adjust flow in open canals. The discharge coefficient (Cd) for a slide gate is a function of the gate’s geometric and hydraulic characteristics. For free flow conditions, Cd depends on the upstream water level and the opening of the gate, whereas for submerged flow, it also depends on the downstream water level. The main aim of this study is to conduct a series of laboratory experiments to determine Cd for inclined slide gates. These tests and models were used to evaluate both free and submerged flows. Experiments with inclination angles of 0°, 15°, 30°, and 45° were studied with different gate openings. The collected data are used to develop equations for predicting Cd. The results show that the inclination of the slide gates has a progressive effect on Cd and increases capacity under the gate. The increase in Cd relates to the convergence of the flow through the gate opening. The produced equation via genetic programming with R2 and a relative error of 0.9431 and 0.0014 had optimal efficiency compared with classical multiple regression models. A comparison with other studies for inclination angles of 45° and 60° was also conducted.

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Data Availability Statement

Some or all of the data, models, or code that support the findings of this study are available from the corresponding author on reasonable request.

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Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 146Issue 12December 2020

History

Received: Apr 17, 2020
Accepted: Aug 10, 2020
Published online: Oct 8, 2020
Published in print: Dec 1, 2020
Discussion open until: Mar 8, 2021

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Authors

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Associate Professor, Dept. of Water Engineering, Faculty of Agriculture, Univ. of Tabriz, Tabriz 51666, Iran (corresponding author). ORCID: https://orcid.org/0000-0002-1627-8598. Email: [email protected]
John Abraham [email protected]
Professor, School of Engineering, Univ. of St. Thomas, 2115 Summit Ave., St. Paul, MN 55105. Email: [email protected]

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