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

Document Type: Regular Article

Authors

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

10.22115/scce.2020.215906.1165

Abstract

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.

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