Structural Engineering and Mechanics

  • 제77권1호
  • /
  • Pages.19-35
  • /
  • 2021
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  • 1225-4568(pISSN)
  • /
  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

A reliability-based fragility assessment method for seismic pounding between nonlinear buildings

  • Liu, Pei (School of Civil Engineering, Beijing Jiaotong University) ;
  • Zhu, Hai-Xin (School of Civil Engineering, Beijing Jiaotong University) ;
  • Fan, Peng-Peng (School of Civil Engineering, Beijing Jiaotong University) ;
  • Yang, Wei-Guo (School of Civil Engineering, Beijing Jiaotong University)
  • 투고 : 2019.06.19
  • 심사 : 2020.08.21
  • 발행 : 2021.01.10
⟨ 이전 논문 다음 논문 ⟩

초록

Existing methods to estimate the probability of seismic pounding occurrence of adjacent buildings do not account for nonlinear behavior or only apply to simple lumped mass systems. The present study proposes an efficient method based on subset simulation for fragility and risk assessment of seismic pounding occurrence between nonlinear adjacent buildings neglecting pounding effects with application to finite element models. The proposed method is first applied to adjacent buildings modeled as elastoplastic systems with substantially different dynamic properties for different structural parameters. Seismic pounding fragility and risk of adjacent frame structures with different floor levels is then assessed, paying special attention to modeling the non-linear material behavior in finite element models. Difference in natural periods and impact location are identified to affect the pounding fragility simultaneously. The reliability levels of the minimum code-specified separation distances are also determined. In addition, the incremental dynamic analysis method is extended to assess seismic pounding fragility of the adjacent frame structures, resulting in higher fragility estimates for separation distances larger than the minimum code-specified ones in comparison with the proposed method.

키워드

과제정보

This paper was supported by the National Key R&D Program of China (No. 2019YFC1521000) and the Fundamental Research Funds for the Central Universities (No. 2019JBM085). The financial support is gratefully acknowledged.

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