Author/Authors :
Ebtehaj Isa نويسنده is now PhD student in Hydraulic Structures (Civil Engineering), Faculty of Engineering, University of Razi, Kermanshah , Ab Ghani Aminuddin نويسنده River Engineering and Urban Drainage Research Centre (REDAC),Universiti Sains Malaysia, Engineering Campus,Penang,Malaysia , Bonakdari Hossein نويسنده Professor in Department of Civil Engineering of University of Razi, , Khoshbin Fatemeh نويسنده MSc from Razi University , Hin Joo Bong Charles نويسنده senior lecturer in the Department of Civil Engineering, Faculty of Engineering, University Malaysia Sarawak,
Abstract :
Sediment transport is a prevalent vital process in fluvial and coastal
environments, and "incipient motion" is an issue inseparably bound to this topic. This study
utilizes a novel hybrid method based on Group Method of Data Handling (GMDH) and Genetic Algorithm
(GA) to design GMDH structural (GMDH-GA). Also, Singular Value Decomposition (SVD) was utilized to
compute the linear coefficient vectors. In order to predict the densimetric Froude number (Fr), the
ratio of median diameter of particle size to hydraulic radius (d/R) and the ratio of sediment
deposit thickness to hydraulic radius (ts/R) are utilized as effective parameters. Using three
different sources of experimental data and GMDH-GA model, a new equation is proposed to predict
incipient motion. The performance of development equation is compared using GMDH-GA and traditional
equations . The results indicate that the presented equation is more accurate (RJSE 0 18 and JAP E
6 48%) than traditional methods. Also, a sensitivity analysis is presented to study the
performance of each input combination in predicting
incipient motion.
