Steel and Composite Structures

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Elastic stiffness of stud connection in composite structures

  • Qin, Xi (School of Civil Engineering, Qingdao University of Technology) ;
  • Yang, Guotao (School of Civil Engineering, Qingdao University of Technology)
  • Received : 2020.06.09
  • Accepted : 2021.04.12
  • Published : 2021.05.25
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Abstract

In composite structures, shear connectors are crucial components to resist the relative slip between the steel and concrete, and thereby to achieve the composite actions. In the service stage, composite structures are usually in elastic state, so the elastic stiffness of the shear connection is a quite important parameter in the structural analysis of composite structures. Nevertheless, the existing studies mainly focus on the load-slip relationship rather than the tangent stiffness at the initial elastic stage. Furthermore, when composite beams subjected to torque or local load, shear connections are affected by both tensile force and shear force. However, the stiffness of shear connections under combined effects appears not to have been discussed hitherto. This paper investigates the initial elastic stiffness of stud connections under combined effects of biaxial forces. The initial expression and the relevant parameters are obtained by establishing a simplified analytical model of the stud connection. Afterwards, parametric finite element analysis is performed to investigate the effects of the relevant factors, including the stud length, stud diameter, elastic modulus of concrete, elastic modulus of steel and volume ratio of reinforcement. The feasibility of the proposed modelling has been proved by comparing with sufficient experimental tests. Based on the analytical analysis and the extensive numerical simulations, design equations for predicting the initial elastic stiffness of stud connections are proposed. The comparison between the equations and the data of finite element models demonstrates that the equations are accurate enough to serve for engineering communities.

Keywords

Acknowledgement

Work for this paper is supported by Natural Science Foundation of China (NSFC) through Grant Nos. 5180081528 and 51978351. Herewith acknowledge with best thanks.

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