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Prediction of Optimum Intak Angle at Open Channel Junction Using Gene Expression Programing Technique | ||
| Kerbala Journal for Engineering Sciences (KJES) | ||
| Volume 5, Issue 3, September 2025, Pages 92-116 PDF (2.54 M) | ||
| Document Type: Research Article | ||
| DOI: 10.63463/kjes1185 | ||
| Authors | ||
| Batool Alaa Mousa* 1; Abdulkider Aziz Mutasher1; Fatima Asaad Mahdi2 | ||
| 1Department of Civil Techniques, Kerbala Technical Institute, Al-Furat Al-Awsat Technical University, Kerbala, Iraq | ||
| 2Department of Civil Techniques, Babylon Technical Institute, Al-Furat Al-Awsat Technical University, Babylon, Iraq | ||
| Abstract | ||
| Usually, water intakes are used to divert water from the primary canal or river to the tertiary canals and turbine systems. In cases when the flow is being separated at the branch channel's inlet, the flow structure in this area is more intricate than in other parts of the network. For the most part, intakes are built at right angles, which creates a sizable separation zone at the entrance of the subchannel and decreases flow discharge. In order to minimize the separation zone's dimensions, the intake should be positioned at the best possible angle. A numerical study was run in a rectangular channel with a side channel branching off of it to determine the optimal intake angle. To achieved this study, eleven intakes were installed on one side of the main channel at varying angles of 15, 30, 45, 60, 75, 90, 105, 120, 135, 150 and 165 degrees to find the optimum intake position. Additionally, a unique method for estimating the separation zone's dimensions utilizing an advanced microcomputing modeling approach called Gene Expression Programming (GEP) has been proposed as a result of the study's findings. The outcomes of the numerical simulation were then utilize to make a compare between the GEP model and the nonlinear regression model (NLR). As a comparison, high R values and small RMSE and MAE indicate that the empirical formula derived using the GEP program is superior to the NLR formula (R2=0.903, RMSE=0.109, and MAE=0.092). | ||
| Keywords | ||
| Branching Angle; GEP Model; NLR Model; Shape Index; Separation Zone | ||
| References | ||
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