DOI QR코드

DOI QR Code

Numerical studies on behaviour of bolted ball-cylinder joint under axial force

  • Guo, Xiaonong (Department of Building Engineering, Tongji University) ;
  • Huang, Zewei (Department of Building Engineering, Tongji University) ;
  • Xiong, Zhe (Department of Building Engineering, Tongji University) ;
  • Yang, Shangfei (Department of Building Engineering, Tongji University) ;
  • Peng, Li (Shanghai T&D Architechral Technology Co., Ltd.)
  • 투고 : 2015.11.10
  • 심사 : 2016.02.16
  • 발행 : 2016.04.30

초록

This paper presents the results of an extensive numerical analysis program devoted to the investigation of the mechanical behaviour of bolted ball-cylinder joints. The analysis program is developed by means of finite element (FE) models implemented in the non-linear code ABAQUS. The FE models have been accurately calibrated on the basis of available experimental results. It is indicated that the FE models could be used effectively to describe the mechanical performance of bolted ball-cylinder joints, including failure modes, stress distributions and load-displacement curves. Therefore, the proposed FE models could be regarded as an efficient and accurate tool to investigate the mechanical behavior of bolted ball-cylinder joints. In addition, to develop a further investigation, parametric studies were performed, varying the dimensions of hollow cylinders, rectangular tubes, convex washers and ribbed stiffener. It is found that the dimensions of hollow cylinders, rectangular tubes and ribbed stiffener influenced the mechanical behaviour of bolted ball-cylinder joints significantly. On the contrary, the effects of the dimensions of convex washers were negligible.

키워드

과제정보

연구 과제 주관 기관 : Natural Science Foundation of China

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  7. Bearing capacity of bolted ball-cylinder joint under uniaxial tensile force vol.28, pp.None, 2020, https://doi.org/10.1016/j.istruc.2020.09.001
  8. Comprehensive Investigations of the Effect of Bolt Tightness on Axial Behavior of a MERO Joint System: Experimental, FEM, and Soft Computing Approaches vol.147, pp.12, 2016, https://doi.org/10.1061/(asce)st.1943-541x.0003168