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http://dx.doi.org/10.12989/sss.2020.26.4.403

Evaluating the bond strength of FRP in concrete samples using machine learning methods  

Gao, Juncheng (China Vanke Co., Ltd.)
Koopialipoor, Mohammadreza (Faculty of Civil and Environmental Engineering, Amirkabir University of Technology)
Armaghani, Danial Jahed (Institute of Research and Development, Duy Tan University)
Ghabussi, Aria (Department of Civil Engineering, Central Tehran Branch, Islamic Azad University)
Baharom, Shahrizan (Department of Civil and Architectural Engineering, Eyvanekey University)
Morasaei, Armin (Department of Civil Engineeing, K.N. Toosi University of Technology)
Shariati, Ali (Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University)
Khorami, Majid (Facultad de Arquitectura y Urbanismo, Universidad UTE)
Zhou, Jian (School of Resources and Safety Engineering, Central South University)
Publication Information
Smart Structures and Systems / v.26, no.4, 2020 , pp. 403-418 More about this Journal
Abstract
In recent years, the use of Fiber Reinforced Polymers (FRPs) as one of the most common ways to increase the strength of concrete samples, has been introduced. Evaluation of the final strength of these specimens is performed with different experimental methods. In this research, due to the variety of models, the low accuracy and impact of different parameters, the use of new intelligence methods is considered. Therefore, using artificial intelligent-based models, a new solution for evaluating the bond strength of FRP is presented in this paper. 150 experimental samples were collected from previous studies, and then two new hybrid models of Imperialist Competitive Algorithm (ICA)-Artificial Neural Network (ANN) and Artificial Bee Colony (ABC)-ANN were developed. These models were evaluated using different performance indices and then, a comparison was made between the developed models. The results showed that the ICA-ANN model's ability to predict the bond strength of FRP is higher than the ABC-ANN model. Finally, to demonstrate the capabilities of this new model, a comparison was made between the five experimental models and the results were presented for all data. This comparison showed that the new model could offer better performance. It is concluded that the proposed hybrid models can be utilized in the field of this study as a suitable substitute for empirical models.
Keywords
FRP; ICA-ANN; ABC-ANN; prediction; bond strength;
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Times Cited By KSCI : 64  (Citation Analysis)
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83 Yao, J., Teng, J. and Chen, J. (2005), "Experimental study on FRPto- concrete bonded joints", Compos. Part B Eng., 36(2), 99-113. https://doi.org/10.1016/j.compositesb.2004.06.001.   DOI
84 Xu, C., Gordan, B., Koopialipoor, M., Armaghani, D.J., Tahir, M. and Zhang, X. (2019), "Improving performance of retaining walls under dynamic conditions developing an optimized ANN based on ant colony optimization technique", IEEE Access, 7, 94692-94700. https://doi.org/10.12989/10.1109/ACCESS.2019.2927632.   DOI
85 Yang, H., Koopialipoor, M., Armaghani, D.J., Gordan, B., Khorami, M. and Tahir, M. (2019), "Intelligent design of retaining wall structures under dynamic conditions", Steel Compos. Struct., Int. J., 31(6), 629-640. https://doi.org/10.12989/scs.2019.31.6.629.
86 Yang, Y., Yue, Q. and Hu, Y. (2001), "Experimental study on bond performance between carbon fiber sheets and concrete", J. Build. Struct., 3, 36-41.
87 Paknahad, M., Shariati, M., Sedghi, Y., Bazzaz, M. and Khorami, M. (2018), "Shear capacity equation for channel shear connectors in steel-concrete composite beams", Steel Compos. Struct., Int. J., 28(4), 483-494. https://doi.org/10.12989/10.12989/scs.2018.28.4.483.
88 Rafiq, M., Bugmann, G. and Easterbrook, D. (2001), "Neural network design for engineering applications", Comput. Struct., 79(17), 1541-1552. https://doi.org/10.1016/S0045-7949(01)00039-6.   DOI
89 Safa, M., Sari, P.A., Shariati, M., Suhatril, M., Trung, N.T., Wakil, K. and Khorami, M. (2020), "Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes", Physica A, 550, 124046. https://doi.org/10.1016/j.physa.2019.124046.   DOI
90 Sajedi, F. and Shariati, M. (2019), "Behavior study of NC and HSC RCCs confined by GRP casing and CFRP wrapping", Steel Compos. Struct., Int. J., 30(5), 417-432. https://doi.org/10.12989/scs.2019.30.5.417.
91 Sinaei, H., Jumaat, M.Z. and Shariati, M. (2011), "Numerical investigation on exterior reinforced concrete beam-column joint strengthened by composite fiber reinforced polymer (CFRP)", Int. J. Phys. Sci., 6(28), 6572-6579. https://doi.org/10.5897/IJPS11.1225.
92 Soudki, K. and Alkhrdaji, T. (2004), "Guide for the design and construction of externally bonded FRP systems for strengthening existing structures", Proceedings of the Structures Congress 2005, New York, USA, April.
93 Sun, L., Koopialipoor, M., Armaghani, D.J., Tarinejad, R. and Tahir, M. (2019), "Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples", Eng. Comput., 1-13. https://doi.org/10.1007/s00366-019-00875-1.
94 Tahmasbi, F., Maleki, S., Shariati, M., Ramli Sulong, N.H. and Tahir, M.M. (2016), "Shear capacity of C-shaped and L-shaped angle shear connectors", PLoS One, 11(8), e0156989. https://doi.org/10.1371/journal.pone.0156989.   DOI
95 Lu, X., Teng, J., Ye, L. and Jiang, J. (2005), "Bond-slip models for FRP sheets/plates bonded to concrete", Eng. Struct., 27(6), 920-937. https://doi.org/10.1016/j.engstruct.2005.01.014.   DOI
96 Luo, Z., Sinaei, H., Ibrahim, Z., Shariati, M., Jumaat, Z., Wakil, K., Pham, B.T., Mohamad, E.T. and Khorami, M. (2019), "Computational and experimental analysis of beam to column joints reinforced with CFRP plates", Steel Compos. Struct., Int. J., 30(3), 271-280. http://dx.doi.org/10.12989/scs.2019.30.3.271.
97 Koopialipoor, M., Nikouei, S.S., Marto, A., Fahimifar, A., Armaghani, D.J. and Mohamad, E.T. (2019f), "Predicting tunnel boring machine performance through a new model based on the group method of data handling", Bull. Eng. Geol. Environ., 78(5), 3799-3813. https://doi.org/10.1007/s10064-018-1349-8.   DOI
98 Teng, J., Chen, J.F., Smith, S.T. and Lam, L. (2002), FRP: Strengthened RC Structures, SCU, Astralia.
99 Takeo, K., Matsushita, H., Makizumi, T. and Nagashima, G. (1997), "Bond characteristics of CFRP sheets in the CFRP bonding technique", Proc. Japan Concr. Inst., 19(2), 1599-1604.
100 Tang, D., Gordan, B., Koopialipoor, M., Armaghani, D.J., Tarinejad, R., Pham, B.T. and Huynh, V.V. (2020), "Seepage analysis in short embankments using developing a metaheuristic method based on governing equations", Appl. Sci., 10(5), 1761. https://doi.org/10.3390/app10051761.   DOI
101 Toghroli, A., Mehrabi, P., Shariati, M., Trung, N.T., Jahandari, S. and Rasekh, H. (2020), "Evaluating the use of recycled concrete aggregate and pozzolanic additives in fiber-reinforced pervious concrete with industrial and recycled fibers", Constr. Build. Mater., 252, 118997. https://doi.org/10.1016/j.conbuildmat.2020.118997.   DOI
102 Armaghani, D.J., Koopialipoor, M., Marto, A. and Yagiz, S. (2019), "Application of several optimization techniques for estimating TBM advance rate in granitic rocks", J. Rock Mech. Geotech. Eng., 11(4), 779-789. https://doi.org/10.1016/j.jrmge.2019.01.002.   DOI
103 Arabnejad Khanouki, M.M., Ramli Sulong, N.H. and Shariati, M. (2010), "Investigation of seismic behaviour of composite structures with concrete filled square steel tubular (CFSST) column by push-over and time-history analyses", Proceedings of the 4th International Conference on Steel & Composite Structures, Sydney, Australia, July.
104 Arabnejad Khanouki, M.M., Ramli Sulong, N.H. and Shariati, M. (2011), "Behavior of through beam connections composed of CFSST columns and steel beams by finite element studying", Adv. Mater. Res., 168, 2329-2333. http://dx.doi.org/10.4028/www.scientific.net/AMR.168-170.2329.   DOI
105 Armaghani, D.J., Hasanipanah, M., Amnieh, H.B. and Mohamad, E.T. (2018), "Feasibility of ICA in approximating ground vibration resulting from mine blasting", Neural Comput. Appl., 29(9), 457-465. https://doi.org/10.1007/s00521-016-2577-0.   DOI
106 Armaghani, D.J., Mirzaei, F., Shariati, M., Trung, N.T., Shariati, M. and Trnavac, D. (2020), "Hybrid ANN-based techniques in predicting cohesion of sandy-soil combined with fiber", Geomech. Eng., Int. J., 20(3), 191-205. https://doi.org/10.12989/gae.2020.20.3.191.
107 McCulloch, W.S. and Pitts, W. (1943), "A logical calculus of the ideas immanent in nervous activity", Bull. Math. Biophys. 5(4), 115-133. https://doi.org/10.1007/BF02478259.   DOI
108 Afshar, A., Jahandari, S., Rasekh, H., Shariati, M., Afshar, A. and Shokrgozar, A. (2020), "Corrosion resistance evaluation of rebars with various primers and coatings in concrete modified with different additives", Constr. Build. Mater., 262, 120034. https://doi.org/10.1016/j.conbuildmat.2020.120034.   DOI
109 Shariati, M., Ramli Sulong, N.H., Suhatril, M., Shariati, A., Arabnejad Khanouki, M.M. and Sinaei, H. (2012b), "Fatigue energy dissipation and failure analysis of channel shear connector embedded in the lightweight aggregate concrete in composite bridge girders", Proceedings of the Fifth International Conference on Engineering Failure Analysis, The Hague, The Netherlands, July.
110 Shariati, M., Ramli Sulong, N.H., Arabnejad Khanouki, M.M. and Shariati, A. (2011), "Experimental and numerical investigations of channel shear connectors in high strength concrete", Proceedings of the 2011 World Congress on Advances in Structural Engineering and Mechanics, Seoul, Korea, September.
111 Koopialipoor, M., Fallah, A., Armaghani, D.J., Azizi, A. and Mohamad, E.T. (2019c), "Three hybrid intelligent models in estimating flyrock distance resulting from blasting", Eng. Comput., 35(1), 243-256. https://doi.org/10.1007/s00366-018-0596-4.   DOI
112 Khorramian, K., Maleki, S., Shariati, M., Jalali, A. and Tahir, 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
113 Koopialipoor, M., Armaghani, D.J., Haghighi, M. and Ghaleini, E. N. (2019a), "A neuro-genetic predictive model to approximate overbreak induced by drilling and blasting operation in tunnels", Bull. Eng. Geol. Environ., 78(2), 981-990. https://doi.org/10.1007/s10064-017-1116-2.   DOI
114 Koopialipoor, M., Armaghani, D.J., Hedayat, A., Marto, A. and Gordan, B. (2019b), "Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions", Soft Comput., 23(14), 5913-5929. https://doi.org/10.1007/s00500-018-3253-3.   DOI
115 Koopialipoor, M., Ghaleini, E.N., Haghighi, M., Kanagarajan, S., Maarefvand, P. and Mohamad, E.T. (2019d), "Overbreak prediction and optimization in tunnel using neural network and bee colony techniques", Eng. Comput., 35(4), 1191-1202. https://doi.org/10.1007/s00366-018-0658-7.   DOI
116 Koopialipoor, M., Ghaleini, E.N., Tootoonchi, H., Armaghani, D. J., Haghighi, M. and Hedayat, A. (2019e), "Developing a new intelligent technique to predict overbreak in tunnels using an artificial bee colony-based ANN", Environ. Earth Sci., 78(5), 165. https://doi.org/10.1007/s12665-019-8163-x.   DOI
117 Shariati, M. (2013), "Behaviour of C-shaped shear connectors in stell concrete composite beams", Ph.D. Dissertation, Universiti Malaya, Kuala Lumpur, Malyasia.
118 Shariati, M., Toghroli, A., Jalali, A. and Ibrahim, Z. (2017), "Assessment of stiffened angle shear connector under monotonic and fully reversed cyclic loading", Proceedings of the Fifth International Conference on Advances in Civil, Structural and Mechanical Engineering-CSM 2017, Zurich, Switzerland, September.
119 Shariati, M., Tahir, M.M., Wee, T.C., Shah, S., Jalali, A., Abdullahi, M.M. and Khorami, M. (2018), "Experimental investigations on monotonic and cyclic behavior of steel pallet rack connections", Eng. Fail. Anal., 85, 149-166. https://doi.org/10.1016/j.engfailanal.2017.08.014.   DOI
120 Shariati, M., Faegh, S.S., Mehrabi, P., Bahavarnia, S., Zandi, Y., Masoom, D.R., Toghroli, A., Trung, N.T. and Salih, M.N. (2019a), "Numerical study on the structural performance of corrugated low yield point steel plate shear walls with circular openings", Steel Compos. Struct., Int. J., 33(4), 569-581. https://doi.org/10.12989/scs.2019.33.4.569.
121 Shariati, M., Heyrati, A., Zandi, Y., Laka, H., Toghroli, A., Kianmehr, P., Safa, M., Salih, M.N. and Poi-Ngian, S. (2019b), "Application of waste tire rubber aggregate in porous concrete", Smart Struct. Syst., Int. J., 24(4), 553-566. https://doi.org/10.12989/sss.2019.24.4.553.
122 Toghroli, A., Mohammadhassani, M., Suhatril, M., Shariati, M. and Ibrahim, Z. (2014), "Prediction of shear capacity of channel shear connectors using the ANFIS model", Steel Compos. Struct., Int. J., 17(5), 623-639. http://dx.doi.org/10.12989/scs.2014.17.5.623.   DOI
123 Toghroli, A., Shariati, M., Karim, M.R. and Ibrahim, Z. (2017), "Investigation on composite polymer and silica fume-rubber aggregate pervious concrete", Proceedings of the Fifth International Conference on Advances in Civil, Structural and Mechanical Engineering - CSM 2017, Zurich, Switzerland, September.
124 Koopialipoor, M., Noorbakhsh, A., Noroozi Ghaleini, E., Jahed Armaghani, D. and Yagiz, S. (2019g), "A new approach for estimation of rock brittleness based on non-destructive tests", Nondestruct. Test. Evaluation, 34(4), 354-375. https://doi.org/10.1080/10589759.2019.1623214.   DOI
125 Hosseinpour, E., Baharom, S., Badaruzzaman, W.H.W., Shariati, M. and Jalali, A. (2018), "Direct shear behavior of concrete filled hollow steel tube shear connector for slim-floor steel beams", Steel Compos. Struct., Int. J., 26(4), 485-499. https://doi.org/10.12989/scs.2018.26.4.485.