Scour depth forecast modeling caused by submerged vertical impinging circular jet: a comparative study between ANN and MNLR

摘要

Scouring due to jet causes a lot of damages to hydraulic structures; therefore, it is very important to predict the scouring depth due to the jet near a hydraulic structure to increase its durability. In this paper, for predicting the scour depth, multiple nonlinear regression (MNLR) analysis has been performed which is mainly derived from the data obtained by experimental analysis. For collecting data, experiment analysis has been performed with the help of a submerged vertical impinging circular jet in the hydraulic laboratory of National Institute of Technology, Hamirpur, Himachal Pradesh, India. In this paper, the Artificial Neural Network (ANN) model was also used for determining the scour depths. The results obtained from the ANN model have been compared with multiple nonlinear regression analyses. The performance of ANN was found more influential than the MNLR for predicting the scour depth.