DOI QR코드

DOI QR Code

Moment-curvature hysteresis model of angle steel frame confined concrete columns

  • Rong, Chong (State Key Laboratory of Green Building in Western China of Xian University of Architecture & Technology) ;
  • Tian, Wenkai (State Key Laboratory of Green Building in Western China of Xian University of Architecture & Technology) ;
  • Shi, Qingxuan (State Key Laboratory of Green Building in Western China of Xian University of Architecture & Technology) ;
  • Wang, Bin (State Key Laboratory of Green Building in Western China of Xian University of Architecture & Technology) ;
  • Shah, Abid Ali (Department of Civil Engineering, Faculty of Engineering and Technology (FET), International Islamic University (IIU) Islamabad)
  • 투고 : 2021.05.28
  • 심사 : 2022.04.08
  • 발행 : 2022.07.10

초록

The angle steel frame confined concrete columns (ASFCs) are an emerging form of hybrid columns, which comprise an inner angle steel frame and a concrete column. The inner angle steel frame can provide axial bearing capacity and well confining effect for composite columns. This paper presents the experimental and theoretical studies on the seismic behaviour of ASFCs. The experimental study of the 6 test specimens is presented, based on the previous study of the authors. The theoretical study includes two parts. One part establishes the section analysis model, and it uses to analyze section axial force-moment-curvature. Another part establishes the section moment-curvature hysteresis model. The test and analysis results show that the axial compression ratio and the assembling of steel slabs influence the local buckling of the angle steel. The three factors (axial compression ratio, content of angle steel and confining effect) have important effects on the seismic behaviour of ASFCs. And the theoretical model can provide reasonably accurate predictions and apply in section analysis of ASFCs.

키워드

과제정보

The research described in this paper was financially supported by the National Natural Science Foundation of China [grant numbers 52108171, 51878540, 51808435].

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