Author(s): Masoumeh Fattahi; Babak Lashkar-Ara; Mahsa Valipour
Linked Author(s):
Keywords: Nonlinear regression; Genetic programming; Scour; Grade-control structures
Abstract: This paper describes nonlinear regression and genetic programming approachs for predicting scour downstream of grade control structures. dimensional analysis and nonlinear regression-based equations proposed for estimation of maximum scour depth, location of the scour hole, location and height of the dune downstream of the structures. In the second part, The GP-based formulation results are compared with experimental results and other accurate equations. The results analysis showed that the equations derived using Forward Stepwise nonlinear regression method have correlation coefficient of R2=0. 962 and 0. 971 respectively for estimating the relative parameter of maximum scour depth (s/z) in comparison with the genetic programming model. Furthermore, the slope of the fitted line extracted from computations and observations for dimensionless parameters (s/z) ,XS/z, hD/z, XD/z using both model indicate the superiority of nonlinear regression equations over genetic programming (GP) .
Year: 2015