Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel

• Main Authors: Bong, Charles Hin Joo, Isa, Ebtehajaj, Hossein, Bonakdari, Fatemeh, Khoshbin, Aminuddin, Bin Ab Ghani
• Format: Article
• Language: English
• Published: Sharif University of Technology 2017
• Subjects: TD Environmental technology. Sanitary engineering
• Online Access: http://ir.unimas.my/id/eprint/30006/1/Bong%20Charles%20Hin%20Joo.pdf; http://ir.unimas.my/id/eprint/30006/; http://scientiairanica.sharif.edu/article_4083.html
• Institution: Universiti Malaysia Sarawak

Sediment transport is a prevalent vital process in uvial 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 coe�cient 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 e�ective parameters. Using three di�erent 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 (RMSE = 0:18 and MAP E = 6:48%) than traditional methods. Also, a sensitivity analysis is presented to study the performance of each input combination in predicting incipient motion