Investigating Effect of Flow Contraction on Discharge Coefficient of Lopac Gates Using Support Vector Machines

Articles in Press

Document Type : Research Paper

Authors

1 Assistant Professor, Water Science and Engineering Department, Bu-Ali Sina University

2 Bu-Ali university

10.22059/jwim.2025.392612.1217

Abstract

One of the main important and influential factors on the performance of water conveyance and distribution systems is the type of structure and its performance. The LOPAC gate is one of these structures, whose discharge coefficient is a key factor in estimating the flow rate. In this research, after dimensional analysis and identifying the effective parameters, including the opening angle, submergence ratio (the ratio of downstream depth to upstream depth), and opening ratio (the ratio of LOPAC gate opening to canal width), the discharge coefficient of a LOPAC gate under semi opened submerged operating conditions with and without contraction was predicted using a support vector machine (SVM). To this end, a support vector machine-based prediction model was developed using experimental and numerical data to estimate the discharge coefficient of a Sluice gate under submerged flow conditions. Thus, 70% of the data was used for training and 30% for testing. After optimizing the support vector machine parameters using systematic methods, different models with varying input parameter combinations were evaluated. The results showed that the optimal model using the submergence ratio and opening ratio as the main input factors provided the highest accuracy with a correlation coefficient of 0.984 and a root mean square error of 0.006.

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Main Subjects

Water and Irrigation Management

Articles in Press, Accepted Manuscript
Available Online from 15 August 2025

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