Earthquakes and Structures

  • 제27권4호
  • /
  • Pages.251-262
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  • 2024
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  • 2092-7614(pISSN)
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  • 2092-7622(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Experimental study on behavior of tri-directional prestressed composite bridge column under low cyclic loading

  • Yang Chen (School of Mechanics and Engineering Science, Shanghai University) ;
  • Zhaowei Jiang (School of Mechanics and Engineering Science, Shanghai University) ;
  • Yingjun Gan (School of Digital Construction, Shanghai Urban Construction Vocational College) ;
  • Jun Ye (Xi'an University of Architecture & Technology Engineering Technology Co., Ltd) ;
  • Yong Yang (State Key Laboratory of Green Building, Xi'an University of Architecture & Technology)
  • 투고 : 2023.08.06
  • 심사 : 2024.05.16
  • 발행 : 2024.10.25
⟨ 이전 논문 다음 논문 ⟩

초록

To improve the seismic behavior of composite column with high strength concrete-filled steel tubular in bridge engineering, four column specimens, including one specimen with vertical prestressing force and three specimens with tri-directional prestressing force, were conducted under low cyclic loading. Test parameters including axial compression ratio, degree of vertical prestressing and existence of prestressed steel strips were emphatically analyzed. Experimental results revealed that applying tri-directional prestressing force to column with high strength concrete-filled steel tubular produced more beneficial behavior in terms of ductility, energy-dissipation and self-centering capacity over that of specimens only with vertical prestress. Moreover, ultimate bearing capacity of composite column was improved with increase of degree of vertical prestress and external axial force, while ductility would be reduced. External axial force showed slight influence on the self-centering behavior. Finally, a calculation equation for predicting the shear capacity of the tri-directional prestressed composite column was proposed and the accuracy of the calculated results validated by experimental data.

키워드

과제정보

This work is supported by National Program on Key R&D Project of China (2022YFE0210500) and Open Research Project of China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures.

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