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http://dx.doi.org/10.12989/scs.2019.33.3.319

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

Shariati, Mahdi (Institute of Research and Development, Duy Tan University)
Mafipour, Mohammad Saeed (School of Civil Engineering, College of Engineering, University of Tehran)
Mehrabi, Peyman (Department of Civil Engineering, K.N. Toosi University of Technology)
Zandi, Yousef (Department of Civil Engineering, Tabriz Branch, Islamic Azad University)
Dehghani, Davoud (Department of Civil Engineering, Qeshm International Branch, Islamic Azad University)
Bahadori, Alireza (School of Civil Engineering, College of Engineering, University of Tehran)
Shariati, Ali (Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University)
Trung, Nguyen Thoi (Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University)
Salih, Musab N.A. (School of civil engineering, faculty of engineering, Universiti Teknologi Malaysia)
Poi-Ngian, Shek (Construction Research Center (CRC), Institute for Smart Infrastructure & Innovative Construction (ISIIC), School of Civil Engineering, Universiti Teknologi Malaysia)
Publication Information
Steel and Composite Structures / v.33, no.3, 2019 , pp. 319-332 More about this Journal
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.
Keywords
elevated temperature; channel shear connector; extreme learning machine; genetic programming; artificial neural network;
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Times Cited By KSCI : 27  (Citation Analysis)
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85 Vo-Van, T., Nguyen-Thoi, T., Vo-Duy, T., Ho-Huu, V. and Nguyen-Trang, T. (2017), "Modified genetic algorithm-based clustering for probability density functions", J. Statist. Computat. Simul., 87(10), 1964-1979. https://doi.org/10.1080/00949655.2017.1300663   DOI
86 Wei, X., Shariati, M., Zandi, Y., Pei, S., Jin, Z., Gharachurlu, S., Abdullahi, M.M., Tahir, M.M. and Khorami, M. (2018), "Distribution of shear force in perforated shear connectors", Steel Compos. Struct., Int. J., 27(3), 389-399. http://dx.doi.org/10.12989/scs.2018.27.3.389
87 Xie, Q., Sinaei, H., Shariati, M., Khorami, M., Mohamad, E.T. and Bui, D.T. (2019), "An experimental study on the effect of CFRP on behavior of reinforce concrete beam column connections", Steel Compos. Struct., Int. J., 30(5), 433-441. http://dx.doi.org/10.12989/scs.2019.30.5.433
88 Shahabi, S., Sulong, N., Shariati, M. and Shah, S. (2016b), "Performance of shear connectors at elevated temperatures-A review", Steel Compos. Struct., Int. J., 20(1), 185-203. https://doi.org/10.12989/scs.2016.20.1.185   DOI
89 Shah, S.N.R., Sulong, N.R., Shariati, M., Khan, R. and Jumaat, M.Z. (2016), "Behavior of steel pallet rack beam-to-column connections at elevated temperatures", Thin-Wall. Struct., 106, 471-483. https://doi.org/10.1016/j.tws.2016.05.021   DOI
90 Shahabi, S.E.M., Sulong, N.H., Shariati, M., Mohammadhassani, M. and Shah, S.N.R. (2016a), "Numerical analysis of channel connectors under fire and a comparison of performance with different types of shear connectors subjected to fire", Steel Compos. Struct., Int. J., 20(3), 651-669. https://doi.org/10.12989/scs.2016.20.3.651   DOI
91 Shamshirband, S., Petkovic, D., Saboohi, H., Anuar, N.B., Inayat, I., Akib, S., Cojbasic, Z., Nikolic, V., Kiah, M.L.M. and Gani, A. (2014), "Wind turbine power coefficient estimation by soft computing methodologies: comparative study", Energy Convers. Manag., 81, 520-526. https://doi.org/10.1016/j.enconman.2014.02.055   DOI
92 Khorami, M., Alvansazyazdi, M., Shariati, M., Zandi, Y., Jalali, A. and Tahir, M. (2017a), "Seismic performance evaluation of buckling restrained braced frames (BRBF) using incremental nonlinear dynamic analysis method (IDA)".
93 Jalali, A., Daie, M., Nazhadan, S.V.M., Kazemi-Arbat, P. and Shariati, M. (2012), "Seismic performance of structures with pre-bent strips as a damper", Int. J. Phys. Sci., 7(26), 4061-4072. https://doi.org/10.5897/IJPS11.1324
94 Katebi, J., Shoaei-parchin, M., Shariati, M., Trung, N.T. and Khorami, M. (2019), "Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures", Eng. Comput., 1-20. https://doi.org/10.1007/s00366-019-00780-7
95 Kazerani, S., Fanaie, N. and Soroushnia, S. (2014), "Seismic behavior of drilled beam section in moment connections", Num. Methods Civil Eng., 1(2), 21-28.
96 Khorami, M., Khorami, M., Motahar, H., Alvansazyazdi, M., Shariati, M., Jalali, A. and Tahir, M.M. (2017b), "Evaluation of the seismic performance of special moment frames using incremental nonlinear dynamic analysis".
97 Khorramian, K., Maleki, S., Shariati, M. and Sulong, N.R. (2015), "Behavior of tilted angle shear connectors", PLoS One, 10(12), e0144288. https://doi.org/10.1371/journal.pone.0144288   DOI
98 Shariati, M. (2013), "Behaviour of C-shaped Shear Connectors in Stell Concrete Composite Beams", Doctoral dissertation; Jabatan Kejuruteraan Awam, Fakulti Kejuruteraan, Universiti Malaya, Malaysia.
99 Khorramian, K., Maleki, S., Shariati, M. and Ramil Sulong, H. (2016), "Behavior of tilted angle shear connectors", 10(12), e0144288, 2015)", PLOS One, 11(2). https://doi.org/10.1371/journal.pone.0144288
100 Khorramian, K., Maleki, S., Shariati, M., Jalali, A. and Tahir, M.M. (2017), "Numerical analysis of tilted angle shear connectors in steel-concrete composite systems", Steel Compos. Struct., Int. J., 23(1), 67-85. https://doi.org/10.12989/scs.2017.23.1.067   DOI
101 Shariati, A. (2014), "Behaviour of C-shaped Angle Shear Connectors in High Strength Concrete", Master dissertation; Jabatan Kejuruteraan Awam, Fakulti Kejuruteraan, Universiti Malaya, Malaysia.
102 Shariati, M., Ramli Sulong, N.H., Maleki, S. and Arabnejad Kh, M.M. (2010), "Experimental and analytical study on channel shear connectors in light weight aggregate concrete", Proceedings of the 4th International Conference on Steel & Composite Structures, Sydney, Australia, July.
103 Ziaei-Nia, A., Shariati, M. and Salehabadi, E. (2018), "Dynamic mix design optimization of high-performance concrete", Steel Compos. Struct., Int. J., 29(1), 67-75. https://doi.org/10.12989/scs.2018.29.1.067
104 Xu, C., Zhang, X., Haido, J.H., Mehrabi, P., Shariati, A., Mohamad, E.T., Hoang, N. and Wakil, K. (2019), "Using genetic algorithms method for the paramount design of reinforced concrete structures", Struct. Eng. Mech., Int. J., 71(5), 503-513. https://doi.org/10.12989/sem.2019.71.5.503
105 Zandi, Y., Shariati, M., Marto, A., Wei, X., Karaca, Z., Dao, D., Toghroli, A., Hashemi, M.H., Sedghi, Y., Wakil, K. and Khorami, M. (2018), "Computational investigation of the comparative analysis of cylindrical barns subjected to earthquake", Steel Compos. Struct., Int. J., 28(4), 439-447. https://doi.org/10.12989/scs.2018.28.4.439
106 Zhao, B. and Kruppa, J. (1995), "Fire resistance of composite slabs with profiled steel sheet and of composite steel concrete beams(Part 2, Composite beams)", EUR(Luxembourg).