Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures

Mahdi Shariati, Mohammad Saeed Mafipour, Peyman Mehrabi, Yousef Zandi, Davoud Dehghani, Alireza Bahadori, Ali Shariati, Nguyen Thoi Trung, Musab N.A. Salih and Shek Poi-Ngian

Abstract

This study is aimed to predict the behaviour of channel shear connectors in composite floor systems at different temperatures. For this purpose, a soft computing approach is adopted. Two novel intelligence methods, including an Extreme Learning Machine (ELM) and a Genetic Programming (GP), are developed. In order to generate the required data for the intelligence methods, several push-out tests were conducted on various channel connectors at different temperatures. The dimension of the channel connectors, temperature, and slip are considered as the inputs of the models, and the strength of the connector is predicted as the output. Next, the performance of the ELM and GP is evaluated by developing an Artificial Neural Network (ANN). Finally, the performance of the ELM, GP, and ANN is compared with each other. Results show that ELM is capable of achieving superior performance indices in comparison with GP and ANN in the case of load prediction. Also, it is found that ELM is not only a very fast algorithm but also a more reliable model.

Key Words

elevated temperature; channel shear connector; extreme learning machine; genetic programming; artificial neural network

Address

(1) Mahdi Shariati: Institute of Research and Development, Duy Tan University, Da Nang 550000, Viet Nam; (2) Mohammad Saeed Mafipour, Alireza Bahadori: School of Civil Engineering, College of Engineering, University of Tehran, Iran; (3) Peyman Mehrabi: Department of Civil Engineering, K.N. Toosi University of Technology, Tehran, Iran; (4) Yousef Zandi: Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran; (5) Davoud Dehghani: Department of Civil Engineering, Qeshm International Branch, Islamic Azad University, Qeshm, Iran; (6) Ali Shariati, Nguyen Thoi Trung: Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Viet Nam; (7) Ali Shariati, Nguyen Thoi Trung: Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Viet Nam; (8) Musab N.A. Salih: School of civil engineering, faculty of engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia; (9) Shek Poi-Ngian: Construction Research Center (CRC), Institute for Smart Infrastructure & Innovative Construction (ISIIC), School of Civil Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia.

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