Fuzzy-Based Approach to Predict the Performance of Shear Connectors in Composite Structures

Document Type: Regular Article


1 Department of Civil and Environmental Engineering, Western University, Ontario, Canada

2 Ph.D. Candidate, Faculty of Civil Engineering, Semnan University, Semnan, Iran

3 Assistant Professor, School of Design and Construction Management, Washington State University, Washington, United States



Shear connectors in steel-concrete composite frames are essential elements to transfer the shear between steel and concrete. Several parameters must be considered in predicting the strength of these connectors. This research aims to estimate the performed rib shear strength of connectors in composite frames. To this end, four variables including the compressive strength of concrete, area of dowels, the transverse area in rib holes, and also connector height, are applied to a neuro-fuzzy model and the shear strength is selected as the target of the system. The model is trained using an experimental database and validated with an acceptable error. The estimated shear strength of connectors were satisfactorily similar to the measurements reported by the laboratories.


Main Subjects

[1]       Allahyari H, M. Nikbin I, Rahimi R. S, Allahyari A. Experimental measurement of dynamic properties of composite slabs from frequency response. Measurement 2018;114:150–61. doi:10.1016/j.measurement.2017.09.030.

[2]       Zheng S, Liu Y, Yoda T, Lin W. Parametric study on shear capacity of circular-hole and long-hole perfobond shear connector. J Constr Steel Res 2016;117:64–80. doi:10.1016/j.jcsr.2015.09.012.

[3]       Ahn J-H, Kim S-H, Jeong Y-J. Shear behaviour of perfobond rib shear connector under static and cyclic loadings. Mag Concr Res 2008;60:347–57. doi:10.1680/macr.2007.00046.

[4]       Naderpour H, Mirrashid M. Evaluation and Verification of Finite Element Analytical Models in Reinforced Concrete Members. Iran J Sci Technol Trans Civ Eng 2019. doi:10.1007/s40996-019-00240-8.

[5]       Allahyari H, M. Nikbin I, Rahimi R. S, Heidarpour A. A new approach to determine strength of Perfobond rib shear connector in steel-concrete composite structures by employing neural network. Eng Struct 2018;157:235–49. doi:10.1016/j.engstruct.2017.12.007.

[6]       Naderpour H, Mirrashid M. Classification of failure modes in ductile and non-ductile concrete joints. Eng Fail Anal 2019;103:361–75. doi:10.1016/j.engfailanal.2019.04.047.

[7]       Mirrashid M. Comparison study of soft computing approaches for estimation of the non-ductile RC joint shear strength. Soft Comput Civ Eng 2017;1:12–28.

[8]       Naderpour H, Mirrashid M. A computational model for Compressive Strength of Mortars Admixed with Mineral Materials,. Comput Eng Phys Model 2018;1:16–25.

[9]       Naderpour H, Rafiean AH, Fakharian P. Compressive strength prediction of environmentally friendly concrete using artificial neural networks. J Build Eng 2018;16:213–9. doi:10.1016/j.jobe.2018.01.007.

[10]     Naderpour H, Nagai K, Fakharian P, Haji M. Innovative models for prediction of compressive strength of FRP-confined circular reinforced concrete columns using soft computing methods. Compos Struct 2019;215:69–84. doi:10.1016/j.compstruct.2019.02.048.

[11]     Naderpour H, Rezazadeh Eidgahee D, Fakharian P, Rafiean AH, Kalantari SM. A new proposed approach for moment capacity estimation of ferrocement members using Group Method of Data Handling. Eng Sci Technol an Int J 2019. doi:10.1016/j.jestch.2019.05.013.

[12]     Jang J-SR. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybern 1993;23:665–85. doi:10.1109/21.256541.

[13]     Naderpour H, Nagai K, Haji M, Mirrashid M. Adaptive neuro‐fuzzy inference modelling and sensitivity analysis for capacity estimation of fiber reinforced polymer‐strengthened circular reinforced concrete columns. Expert Syst 2019:e12410.

[14]     Naderpour H, Mirrashid M, Nagai K. An innovative approach for bond strength modeling in FRP strip-to-concrete joints using adaptive neuro–fuzzy inference system. Eng Comput 2019:1–18.

[15]     Naderpour H, Mirrashid M. Moment capacity estimation of spirally reinforced concrete columns using ANFIS. Complex Intell Syst 2019. doi:10.1007/s40747-019-00118-2.

[16]     Naderpour H, Mirrashid M. A Neuro-Fuzzy Model for Punching Shear Prediction of Slab-Column Connections Reinforced with FRP. Soft Comput Civ Eng 2019;3:16–26.

[17]     Naderpour H, Mirrashid M. Shear Failure Capacity Prediction of Concrete Beam–Column Joints in Terms of ANFIS and GMDH. Pract Period Struct Des Constr 2019;24:04019006. doi:10.1061/(ASCE)SC.1943-5576.0000417.

[18]     Naderpour H, Mirrashid M. Shear Strength Prediction of RC Beams Using Adaptive Neuro-Fuzzy Inference System. Sci Iran Trans A, Civ Eng 2018;2018.

[19]     Cândido-Martins JPS, Costa-Neves LF, Vellasco PCG da S. Experimental evaluation of the structural response of Perfobond shear connectors. Eng Struct 2010;32:1976–85. doi:10.1016/j.engstruct.2010.02.031.

[20]     Cascardi A, Micelli F, Aiello MA. An Artificial Neural Networks model for the prediction of the compressive strength of FRP-confined concrete circular columns. Eng Struct 2017;140:199–208. doi:10.1016/j.engstruct.2017.02.047.

[21]     Costa-Neves LF, Figueiredo JP, Vellasco PCG da S, Vianna J da C. Perforated shear connectors on composite girders under monotonic loading: An experimental approach. Eng Struct 2013;56:721–37. doi:10.1016/j.engstruct.2013.06.004.

[22]     Kim S-H, Choi J-H. Experimental study on shear connection in unfilled composite steel grid bridge deck. J Constr Steel Res 2010;66:1339–44. doi:10.1016/j.jcsr.2010.05.008.

[23]     Medberry SB. Perfobond shear connector for composite construction. Eng J 2002;39.

[24]     Oguejiofor EC, Hosain MU. A parametric study of perfobond rib shear connectors. Can J Civ Eng 1994;21:614–25. doi:10.1139/l94-063.

[25]     Oguejiofor EC, Hosain MU. Numerical analysis of push-out specimens with perfobond rib connectors. Comput Struct 1997;62:617–24. doi:10.1016/S0045-7949(96)00270-2.

[26]     Vianna J da. C, Costa-Neves LF, da S. Vellasco PCG, de Andrade SAL. Experimental assessment of Perfobond and T-Perfobond shear connectors’ structural response. J Constr Steel Res 2009;65:408–21. doi:10.1016/j.jcsr.2008.02.011.