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

Bong, Charles Hin Joo and Isa, Ebtehajaj and Hossein, Bonakdari and Fatemeh, Khoshbin and Aminuddin, Bin Ab Ghani (2017) Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel. Scientia Iranica A, 24 (3). pp. 1000-1009. ISSN 2345-3605

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Abstract

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

Item Type: Article
Uncontrolled Keywords: genetic algorithm (GA) Group Method of Data Handling (GMDH) Rigid rectangular channel Incipient motion Sediment transport Storm water, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak.
Subjects: T Technology > TD Environmental technology. Sanitary engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Gani
Date Deposited: 22 Jun 2020 00:30
Last Modified: 22 Jun 2021 13:26
URI: http://ir.unimas.my/id/eprint/30006

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