Steel and Composite Structures

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Experimental and numerical investigation on post-earthquake fire behaviour of the circular concrete-filled steel tube columns

  • Wang, Yu-Hang (School of Civil Engineering, Chongqing University) ;
  • Tang, Qi (CISDI ENGINEERING CO., LTD) ;
  • Su, Mei-Ni (Department of Mechanical, Aerospace and Civil Engineering, University of Manchester) ;
  • Tan, Ji-Ke (School of Civil Engineering, Chongqing University) ;
  • Wang, Wei-Yong (School of Civil Engineering, Chongqing University) ;
  • Lan, Yong-Sen (CSIC HaiZhuang Wind power Co., Ltd) ;
  • Deng, Xiao-Wei (Department of Civil Engineering, The University of Hong Kong) ;
  • Bai, Yong-Tao (School of Civil Engineering, Chongqing University) ;
  • Luo, Wei (CSIC HaiZhuang Wind power Co., Ltd) ;
  • Li, Xiao-Hua (School of Civil Engineering, Chongqing University) ;
  • Bai, Jiu-Lin (School of Civil Engineering, Chongqing University)
  • Received : 2019.09.21
  • Accepted : 2020.12.12
  • Published : 2021.01.10
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Abstract

Post-earthquake fire is a common disaster which causes serious safety issues to infrastructures. This study aims to investigate the residual loading capacities of circular concrete-filled steel tube (CFST) columns under post-earthquake fire experimentally and numerically. The experimental programme contains two loading steps - pre-damage cyclic loading at room temperature and transient state tests with constant compression loads. Three finite element models are developed and validated against the test results. Upon validation, a total of 48 numerical results were generated in the parametric study to investigate the effects of thickness and strengths of steel tube, axial compression ratio and damage degree on the fire resistance of circular CFST columns. Based on the analysis on experimental and numerical results, the loading mechanism of circular CFST columns is discussed. A design method is proposed for the prediction of fire resistance time under different seismic pre-damage and compression loads. The predictions by the new method is compared with the newly generated experimental and numerical results and is found to be accurate and consistent with the mean value close to the unity and a coefficient of variation around 1%.

Keywords

Acknowledgement

The research is supported by the Fok Ying Tung Education Foundation (171066), the Fundamental Research Funds for the Central Universities (2019CDQYTM028), 111Project (B18062), Chongqing Science and Technology Bureau (cstc2019jcyj-zdxm0088) and Open Project of Key Laboratory of New Technology for Construction of Cities in Mountain Area (LNTCCMA-20200106).

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