Boundary shear stress analysis in smooth rectangular channels and ducts using neural networks


Cobaner M., SEÇKİN G., SEÇKİN N., YURTAL R.

WATER AND ENVIRONMENT JOURNAL, vol.24, no.2, pp.133-139, 2010 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 24 Issue: 2
  • Publication Date: 2010
  • Doi Number: 10.1111/j.1747-6593.2009.00165.x
  • Journal Name: WATER AND ENVIRONMENT JOURNAL
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.133-139
  • Keywords: canal, engineering design, flood defence/management, hydraulics, FEEDFORWARD NETWORKS, PREDICTION, FLOW
  • Çukurova University Affiliated: Yes

Abstract

An artificial neural network (ANN) model was developed to predict boundary shear force distributions in smooth rectangular channels and ducts. Currently the designers often obtain these values with the help of semi-empirical methods. In this paper, as an alternative to these methods, a neural network model is presented. The model was trained and tested using 94 experimental data obtained from the works of best known researchers in this field. The proposed ANN model was found to be superior to existing methods for most of the data sets studied.