Abstract

In the present article, outfall of the circular jet in the stagnant ambient fluid has been investigated. First, dimensional analysis for eleven involved parameters in the process, results in four dimensionless numbers including; relative length of jet trajectory, x/dp; jet convergence angel, θ_c; geometry number of jet, Di/dp and Densimetric Froude Number, Fr_d. Furthermore, using an experimental setup in the hydraulic laboratory of Shahid Chamran University (SCU), a large amount of data was gathered from several runs of physical model. Gathered data include coordinates of trajectory (x, z) and other involved variables. Then Qnet2000 as an artificial neural network (ANN) software was selected for simulation of the jet outfalls. In this regard, 192 runs of Qnet2000 were performed for training and testing processes. Then, in the application step, ANN model was used for predicting two values of z as upper and inferior limits of the jet trajectory. Findings showed that the model could simulate upper and inferior limits of trajectory very successfully.

Key words: Submerged Jet, outfalls, physical modeling, artificial neural network.