International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2572

Full Length Research Paper

Simulation of circular jet outfalls using artificial neural network

Seyed Habib Musavi-Jahromi* and Javad Ahadiyan
Faculty of Water Sciences Engineering, Shahid Chamran University (SCU), Ahwaz, Iran.
Email: [email protected]

  •  Accepted: 04 May 2012
  •  Published: 30 May 2013


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, θc; geometry number of jet, Di/dp and Densimetric Froude Number, Frd. 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.