Numerical simulation and application of soft computing in estimating vertical drop energy dissipation with horizontal serrated edge

Abstract In the present study, FLOW-3D software was used to simulate energy dissipation by a serrated-edge drop, downstream of this structure. For purpose, 2, 3, and 4 serrations with 2 series relative dimensions at edge vertical critical depth range 0.2–0.35 were for simulation. Then, using artificial neural network (ANN), support vector machine (SVM), gene expression program (GEP) methods, accuracy numerical models evaluated. Results showed that increasing edges increased dissipation, highest lowest related 3 serrations, respectively, Compared edgeless state, 4-edge model, dimension 0.1, an average 20%, 3-edge 0.15, 69%. prediction ANN, SVM, GEP methods although all three have good estimating ANN method RMSE 0.0081 R2 0.9938 in training phase 0.0125 0.9805 testing phase, is higher than other two methods.