Numerical analysis reveals optimal intake angles in water channels, suggesting GEP outperforms nonlinear regression.
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).
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Mousa et al. (2025) studied this question.
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