GENETIC PROGRAMMING FOR PREDICTION OF LOCAL SCOUR AT VERTICAL BRIDGE ABUTMENT

S. A. Begum, A. K. Md. Fujail, A. K. Barbhuiya

Abstract: Local scour around bridge abutment is a common problem encountered worldwide. Extensive laboratory and field studies have been carried out in this field and the equations derived so far are applicable to particular circumstances only. This paper presents an alternative to the empirical equations for Prediction of Local Scour at Vertical Bridge Abutment in the form of genetic programming (GP). The performance of the developed models has been evaluated using Root Mean Square Error and Correlation Coefficient. The accuracy of the trained model has been compared with the empirical formulae available in the literature. The performance of GP model is found to be more accurate than the empirical equations.

Keywords: Genetic programming, neural network, scour depth, abutment

DOI: https://doi.org/10.15623/ijret.2013.0214015