Steel and Composite Structures

  • 제28권2호
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  • Pages.209-221
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  • 2018
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  • 1229-9367(pISSN)
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  • 1598-6233(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Dynamic increase factor for progressive collapse analysis of semi-rigid steel frames

  • Zhu, Yan Fei (School of Mechanics and Civil Engineering, Northwestern Polytechnical University) ;
  • Chen, Chang Hong (School of Mechanics and Civil Engineering, Northwestern Polytechnical University) ;
  • Yao, Yao (School of Mechanics and Civil Engineering, Northwestern Polytechnical University) ;
  • Keer, Leon M. (Civil and Environmental Engineering, Northwestern University) ;
  • Huang, Ying (School of Civil Engineering, Xi'an University of Architecture and Technology)
  • 투고 : 2018.01.04
  • 심사 : 2018.05.25
  • 발행 : 2018.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

An empirical and efficient method is presented for calculating the dynamic increase factor to amplify the applied loads on the affected bays of a steel frame structure with semi-rigid connections. The nonlinear static alternate path analysis is used to evaluate the dynamic responses. First, the polynomial models of the extended end plate and the top and seat connection are modified, and the proposed polynomial model of the flush end plate connection shows good agreement as compared with experimental results. Next, a beam model with nonlinear spring elements and plastic hinges is utilized to incorporate the combined effect of connection flexibility and material nonlinearity. A new step-by-step analysis procedure is established to obtain quickly the dynamic increase factor based on a combination of the pushdown analysis and nonlinear dynamic analysis. Finally, the modified dynamic increase factor equation, defined as a function of the maximum ratio value of energy demand to energy capacity of an affected beam, is derived by curve fitting data points generated by the different analysis cases with different column removal scenarios and five types of semi-rigid connections.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China, Shanxi National Science Foundation of China

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피인용 문헌

  1. Component-based model for posttensioned steel connections against progressive collapse vol.40, pp.4, 2018, https://doi.org/10.12989/scs.2021.40.4.481
  2. Machine learning applications for assessment of dynamic progressive collapse of steel moment frames vol.36, pp.None, 2022, https://doi.org/10.1016/j.istruc.2021.12.067