Steel and Composite Structures

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Computational estimation of the earthquake response for fibre reinforced concrete rectangular columns

  • Liu, Chanjuan (School of Computer Science and Technology, Dalian University of Technology) ;
  • Wu, Xinling (South China Business College, Guang Dong University of Foreign Studies) ;
  • Wakil, Karzan (Research Center, Sulaimani Polytechnic University) ;
  • Jermsittiparsert, Kittisak (Department for Management of Science and Technology Development, Ton Duc Thang University) ;
  • Ho, Lanh Si (Institute of Research and Development, Duy Tan University) ;
  • Alabduljabbar, Hisham (Department of Civil Engineering, College of Engineering, Prince Sattam bin Abdulaziz University) ;
  • Alaskar, Abdulaziz (Department of Civil Engineering, College of Engineering, King Saud University) ;
  • Alrshoudi, Fahed (Department of Civil Engineering, College of Engineering, King Saud University) ;
  • Alyousef, Rayed (Department of Civil Engineering, College of Engineering, Prince Sattam bin Abdulaziz University) ;
  • Mohamed, Abdeliazim Mustafa (Department of Civil Engineering, College of Engineering, Prince Sattam bin Abdulaziz University)
  • Received : 2019.03.13
  • Accepted : 2019.12.31
  • Published : 2020.03.10
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Abstract

Due to the impressive flexural performance, enhanced compressive strength and more constrained crack propagation, Fibre-reinforced concrete (FRC) have been widely employed in the construction application. Majority of experimental studies have focused on the seismic behavior of FRC columns. Based on the valid experimental data obtained from the previous studies, the current study has evaluated the seismic response and compressive strength of FRC rectangular columns while following hybrid metaheuristic techniques. Due to the non-linearity of seismic data, Adaptive neuro-fuzzy inference system (ANFIS) has been incorporated with metaheuristic algorithms. 317 different datasets from FRC column tests has been applied as one database in order to determine the most influential factor on the ultimate strengths of FRC rectangular columns subjected to the simulated seismic loading. ANFIS has been used with the incorporation of Particle Swarm Optimization (PSO) and Genetic algorithm (GA). For the analysis of the attained results, Extreme learning machine (ELM) as an authentic prediction method has been concurrently used. The variable selection procedure is to choose the most dominant parameters affecting the ultimate strengths of FRC rectangular columns subjected to simulated seismic loading. Accordingly, the results have shown that ANFIS-PSO has successfully predicted the seismic lateral load with R2 = 0.857 and 0.902 for the test and train phase, respectively, nominated as the lateral load prediction estimator. On the other hand, in case of compressive strength prediction, ELM is to predict the compressive strength with R2 = 0.657 and 0.862 for test and train phase, respectively. The results have shown that the seismic lateral force trend is more predictable than the compressive strength of FRC rectangular columns, in which the best results belong to the lateral force prediction. Compressive strength prediction has illustrated a significant deviation above 40 Mpa which could be related to the considerable non-linearity and possible empirical shortcomings. Finally, employing ANFIS-GA and ANFIS-PSO techniques to evaluate the seismic response of FRC are a promising reliable approach to be replaced for high cost and time-consuming experimental tests.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China

This work is supported by the National Natural Science Foundation of China (Nos. 61702075), the Young Elite Scientists Sponsorship Program by CAST (No. 2018QNRC001). The authors gratefully acknowledge the technical support received from the Department of Civil Engineering, Faculty of Engineering, Prince Sattam Bin Abdulaziz University. The authors also gratefully acknowledge the technical and financial support of the Research Center of College of Engineering, Deanship of Scientific Research (DSR), King Saud University.

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  88. Shao, Z. and Vesel, A. (2015), "Modeling the packing coloring problem of graphs", Appl. Math. Model., 39(13), 3588-3595. DOI: 10.1016/j.apm.2014.11.060.
  89. Shao, Z., Wakil, K., Usak, M., Amin Heidari, M., Wang, B. and Simoes, R. (2018), "Kriging Empirical Mode Decomposition via support vector machine learning technique for autonomous operation diagnosing of CHP in microgrid", Appl. Therm. Eng., 145, 58-70. DOI: 10.1016/j.applthermaleng.2018.09.028.
  90. Shariat, M., Shariati, M., Madadi, A. and Wakil, K. (2018), "Computational Lagrangian Multiplier Method by using for optimization and sensitivity analysis of rectangular reinforced concrete beams", Steel Compos Struct., 29(2), 243-256. https://doi.org/10.12989/scs.2018.29.2.243.
  91. Shariati, A. (2014), Behaviour of C-shaped Angle Shear Connectors in High Strength Concrete. M.SC, Jabatan Kejuruteraan Awam, Fakulti Kejuruteraan, Universiti Malaya.
  92. Shariati, A., Ramli Sulong, N.H., Suhatril, M. and Shariati, M. (2012a), "Investigation of channel shear connectors for composite concrete and steel T-beam", Int. J. Phys. Sci., 7(11), 1828-1831. DOI: 10.5897/IJPS11.1604.
  93. Shariati, A., Ramli Sulong, N.H., Suhatril, M. and Shariati, M. (2012b), "Various types of shear connectors in composite structures: A review", Int. J. Phys. Sci., 7(22), 2876-2890.
  94. Shariati, A. and Schumacher, T. (2015a), "Oversampling in virtual visual sensors as a means to recover higher modes of vibration", Proceedings of the 41st Annual review of progress in quantitative nondestructive evaluation, 34, AIP Publishing.
  95. Shariati, A., Schumacher, T. and Ramanna, N. (2015b), "Eulerian-based virtual visual sensors to detect natural frequencies of structures", J. Civil Struct. Health Monit., 5(4), 457-468. https://doi.org/10.1007/s13349-015-0128-5
  96. Shariati, A., Shariati, M., Ramli Sulong, N.H., Suhatril, M., Arabnejad Khanouki, M.M. and Mahoutian, M. (2014a), "Experimental assessment of angle shear connectors under monotonic and fully reversed cyclic loading in high strength concrete", Constr. Build. Mater., 52, 276-283. http://dx.doi.org/10.1016/j.conbuildmat.2013.11.036.
  97. Shariati, M. (2008), Assessment of Building Using None-destructive Test Techniques (ultra Sonic Pulse Velocity and Schmidt Rebound Hammer), Universiti Putra Malaysia.
  98. Shariati, M. (2013), Behaviour of C-shaped Shear Connectors in Stell Concrete Composite Beams, Jabatan Kejuruteraan Awam, Fakulti Kejuruteraan, Universiti Malaya.
  99. Shariati, M., Heirati, A., Zandi, Y., Laka, H., Toghroli, A., Kianmehr, P., Safa, M., Salih, M.N. and Poi-Ngian, S. (2019a), "Application of waste tire rubber aggregate in porous concrete", Smart Struct. Syst., 24(4), 553-566. https://doi.org/10.12989/sss.2019.24.4.553.
  100. Shariati, M., Mafipour, M.S., Haido, J.H., Yousif, S.T., Toghroli, A., Trung, N.T. and Shariati, A. (2020), "Identification of the most influencing parameters on the properties of corroded concrete beams using an adaptive Neuro-Fuzzy Inference System (ANFIS)", Steel Compos. Struct., 34(1). http://doi.org/10.12989/scs.2020.34.1.000.
  101. Shariati, M., Mafipour, M.S., Mehrabi, P., Bahadori, A., Zandi, Y., Salih, M.N.A., Nguyen, H., Dou, J., Song, X. and Poi-Ngian, S. (2019b), "Application of a hybrid artificial neural network-particle swarm optimization (ANN-PSO) model in behavior prediction of channel shear connectors embedded in normal and high-strength concrete", Appl. Sci., 9(24), 5534. https://doi.org/10.3390/app9245534
  102. Shariati, M., Mafipour, M.S., Mehrabi, P., Zandi, Y., Dehghani, D., bahadori, A., Shariati, A., Trung, N.T., Salih, M.N. and Poi-Ngian, S. (2019c), "Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures", Steel Compos. Struct., 33(3), 319-332. https://doi.org/10.12989/scs.2019.33.3.319.
  103. Shariati, M., Mahmoudi Azar, S., Arjomand, M.A., Salmani Tehrani, H., Daei, M. and Safa, M. (2019d), "Comparison of dynamic behavior of shallow foundations based on pile and geosynthetic materials in fine-grained clayey soils", Geomech. Eng., 20(2), 473-484. https://doi.org/10.12989/gae.2020.20.2.000.
  104. Shariati, M., Mahmoudi Azar, S., Arjomand, M.A., Salmani Tehrani, H., Daei, M. and Safa, M. (2019e), "Evaluating the impacts of using piles and geosynthetics in reducing the settlement of fine-grained soils under static load", Geomech. Eng., 19(8). 87-101. https://doi.org/10.12989/gae.2020.20.2.087.
  105. Shariati, M., Rafiei, S., Mehrabi, P., Zandi, Y., Fooladvand, R., Gharehaghaj, B., Shariati, A., Trung, N.T., Salih, M.N. and Poi-Ngian, S. (2019f), "Experimental investigation on the effect of cementitious materials on fresh and mechanical properties of self-consolidating concrete", Adv. Concrete Constr., 8(3), 225-237. https://doi.org/10.12989/acc.2019.8.3.225
  106. Shariati, M., Ramli Sulong, N., Suhatril, M., Shariati, A., Arabnejad Khanouki, M. and Sinaei, H. (2012c), "Fatigue energy dissipation and failure analysis of channel shear connector embedded in the lightweight aggregate concrete in composite bridge girders", Proceedings of the 5th International Conference on Engineering Failure Analysis 1-4 July 2012, Hilton Hotel, The Hague, The Netherlands.
  107. Shariati, M., Ramli Sulong, N.H. and Arabnejad Khanouki, 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, 21 - 23 July, 2010, Sydney, Australia, Research Publishing Services.
  108. Shariati, M., Ramli Sulong, N.H., Arabnejad Khanouki, M.M. and Mahoutian, M. (2011a), "Shear resistance of channel shear connectors in plain, reinforced and lightweight concrete", Sci. Res. Essays, 6(4), 977-983.
  109. Shariati, M., Ramli Sulong, N.H., Arabnejad Khanouki, M.M., Shafigh, P. and Sinaei, H. (2011b), "Assessing the strength of reinforced concrete structures through Ultrasonic Pulse Velocity and Schmidt Rebound Hammer tests", Sci. Res. Essays, 6(1), 213-220.
  110. Shariati, M., Ramli Sulong, N.H., Arabnejad Khanouki, M.M. and Shariati, A. (2011c), "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 (ASEM'11+), Seoul, South Korea.
  111. Shariati, M., Ramli Sulong, N.H., Shariati, A. and Khanouki, M. A. (2015c), "Behavior of V-shaped angle shear connectors: experimental and parametric study", Mater. Struct., 49(9), 3909-3926. DOI: 10.1617/s11527-015-0762-8.
  112. Shariati, M., Ramli Sulong, N.H., Shariati, A. and Kueh, A.B H. (2016a), "Comparative performance of channel and angle shear connectors in high strength concrete composites: An experimental study", Constr. Build. Mater., 120, 382-392. DOI: https://doi.org/10.1016/j.conbuildmat.2016.05.102.
  113. Shariati, M., Ramli Sulong, N.H., Sinaei, H., Arabnejad Khanouki, M.M. and Shafigh, P. (2011d), "Behavior of channel shear connectors in normal and light weight aggregate concrete (Experimental and Analytical Study)", Adv. Mater. Res., 168, 2303-2307. https://doi.org/10.4028/www.scientific.net/AMR.168-170.2303
  114. Shariati, M., Ramli Sulong, N.H., Suhatril, M., Shariati, A., Arabnejad Khanouki, M.M. and Sinaei, H. (2012d), "Behaviour of C-shaped angle shear connectors under monotonic and fully reversed cyclic loading: An experimental study", Mater. Design, 41, 67-73. DOI: https://doi.org/10.1016/j.matdes.2012.04.039.
  115. Shariati, M., Ramli Sulong, N.H., Suhatril, M., Shariati, A., Arabnejad Khanouki, M.M. and Sinaei, H. (2012e), "Fatigue energy dissipation and failure analysis of channel shear connector embedded in the lightweight aggregate concrete in composite bridge girders", Proceedings of the 5th International Conference on Engineering Failure Analysis, 1-4 July 2012, Hilton Hotel, The Hague, The Netherlands.
  116. Shariati, M., Ramli Sulong, N.H., Suhatril, M., Shariati, A., Arabnejad Khanouki, M.M. and Sinaei, H. (2013), "Comparison of behaviour between channel and angle shear connectors under monotonic and fully reversed cyclic loading", Constr. Build. Mater., 38, 582-593. https://doi.org/10.1016/j.conbuildmat.2012.07.050.
  117. Shariati, M., Safaei Faegh, S., Mehrabi, P., Bahavarnia, S., Zandi, Y., Rezaee Masoom, D., Toghroli, A., Trung, N.T. and Salih, M. N. (2019g), "Numerical study on the structural performance of corrugated low yield point steel plate shear walls with circular openings", Steel Compos. Struct., 33(4), 569-581. https://doi.org/10.12989/scs.2019.33.4.569
  118. Shariati, M., Shariati, A., Sulong, N.R., Suhatril, M. and Khanouki, M.A. (2014b), "Fatigue energy dissipation and failure analysis of angle shear connectors embedded in high strength concrete", Eng. Fail. Anal., 41, 124-134. https://doi.org/10.1016/j.engfailanal.2014.02.017.
  119. Shariati, M., Sulong, N.H.R., Shariati, A. and Kueh, A.B.H. (2016b). "Comparative performance of channel and angle shear connectors in high strength concrete composites: An experimental study", Constr. Build. Mater., 120, 382-392. DOI: 10.1016/j.conbuildmat.2016.05.102.
  120. Shariati, M., Tahir, M.M., Wee, T.C., Shah, S.N.R., Jalali, A., Abdullahi, M.A.M. and Khorami, M. (2018a), "Experimental investigations on monotonic and cyclic behavior of steel pallet rack connections", Eng. Fail. Anal., 85, 149-166. DOI: 10.1016/j.engfailanal.2017.08.014.
  121. Shariati, M., Tahir, M.M., Wee, T.C., Shah, S.N.R., Jalali, A., Abdullahi, M.M. and Khorami, M. (2018b), "Experimental investigations on monotonic and cyclic behavior of steel pallet rack connections", Eng. Fail. Anal., 85, 149-166. DOI: 10.1016/j.engfailanal.2017.08.014.
  122. 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 5th International Conference on Advances in Civil, Structural and Mechanical Engineering - CSM 2017, Zurich, Switzerland.
  123. Shariati, M., Trung, N.T., Wakil, K., Mehrabi, P., Safa, M. and Khorami, M. (2019h), "Estimation of moment and rotation of steel rack connections using extreme learning machine", Steel Compos. Sruct., 3(5), 427-435. https://doi.org/10.12989/scs.2019.31.5.427.
  124. Shi, X., Hassanzadeh-Aghdam, M. and Ansari, R. (2019a). "Viscoelastic analysis of silica nanoparticle-polymer nanocomposites", Compos. Part B: Eng., 158, 169-178. https://doi.org/10.1016/j.compositesb.2018.09.084
  125. Shi, X., Hassanzadeh-Aghdam, M.K. and Ansari, R. (2019b), "Viscoelastic analysis of silica nanoparticle-polymer nanocomposites", Compos. Part B: Eng., 158, 169-178. https://doi.org/10.1016/j.compositesb.2018.09.084.
  126. Shi, X., Jaryani, P., Amiri, A., Rahimi, A. and Malekshah, E.H. (2019c), "Heat transfer and nanofluid flow of free convection in a quarter cylinder channel considering nanoparticle shape effect", Powder Technol., 346, 160-170. DOI: 10.1016/j.powtec.2018.12.071.
  127. 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. DOI: 10.5897/IJPS11.1225.
  128. Sinaei, H., Shariati, M., Abna, A., Aghaei, M. and Shariati, A. (2012), "Evaluation of reinforced concrete beam behaviour using finite element analysis by ABAQUS", Sci. Res. Essays, 7(21), 2002-2009. DOI: 10.5897/SRE11.1393.
  129. Singh, T.N., Kanchan, R., Verma, A.K. and Saigal, K. (2005), "A comparative study of ANN and neuro-fuzzy for the prediction of dynamic constant of rockmass", J. Earth Syst. Sci., 114(1), 75-86. https://doi.org/10.1007/BF02702010.
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  131. Suhatril, M., Osman, N., Sari, P.A., Shariati, M. and Marto, A. (2019), "Significance of surface eco-protection techniques for cohesive soils slope in selangor, Malaysia", Geotech. Geological Eng., 37(3), 2007-2014. https://doi.org/10.1007/s10706-018-0740-3
  132. 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.
  133. Thai, C.H., Tran, L.V., Tran, D.T., Nguyen-Thoi, T. and Nguyen-Xuan, H. (2012), "Analysis of laminated composite plates using higher-order shear deformation plate theory and node-based smoothed discrete shear gap method", Appl. Math. Model., 36(11), 5657-5677. DOI: 10.1016/j.apm.2012.01.003.
  134. Thang, L.D., Vinh, H.H., Trung, N.T. and Hung, N.Q. (2016), "A new design approach based on differential evolution algorithm for geometric optimization of magnetorheological brakes", Smart Mater. Struct., 25(12).
  135. Toghroli, A. (2015), Applications of the ANFIS and LR models in the prediction of shear connection in composite beams/Ali Toghroli, University of Malaya.
  136. Toghroli, A., Darvishmoghaddam, E., Zandi, Y., Parvan, M., Safa, M., Abdullahi, M., Heydari, A., Wakil, K., Gebreel, S.A. and Khorami, M. (2018a), "Evaluation of the parameters affecting the Schmidt rebound hammer reading using ANFIS method", Comput. Concrete, 21(5), 525-530. http://dx.doi.org/10.12989/cac.2018.21.5.525.
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  138. 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.
  139. Toghroli, A., Shariati, M., Sajedi, F., Ibrahim, Z., Koting, S., Mohamad, E.T. and Khorami, M. (2018b), "A review on pavement porous concrete using recycled waste materials", Smart Struct. Syst., 22(4), 433-440. https://doi.org/10.12989/sss.2018.22.4.433.
  140. Toghroli, A., Suhatril, M., Ibrahim, Z., Safa, M., Shariati, M. and Shamshirband, S. (2016), "Potential of soft computing approach for evaluating the factors affecting the capacity of steel-concrete composite beam", J. Intel. Manufact., 29(8), 1793-1801. DOI: 10.1007/s10845-016-1217-y.
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  142. Trung, N.T., Alemi, N., Haido, J.H., Shariati, M., Baradaran, S. and Yousif, S.T. (2019b), "Reduction of cement consumption by producing smart green concretes with natural zeolites", Smart Struct. Syst., 24(3), 415-425. https://doi.org/10.12989/sss.2019.24.3.415.
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