Earthquakes and Structures

  • 제25권6호
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  • Pages.429-442
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  • 2023
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  • 2092-7614(pISSN)
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  • 2092-7622(eISSN)
테크노프레스 (Techno-Press)
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Seismic damage vulnerability of empirical composite material structure of adobe and timber

  • Si-Qi Li (School of Civil Engineering, Heilongjiang University)
  • 투고 : 2022.09.14
  • 심사 : 2023.11.06
  • 발행 : 2023.12.25
⟨ 이전 논문 다음 논문 ⟩

초록

To study the seismic vulnerability of the composite material structure of adobe and timber, we collected and statistically analysed empirical observation samples of 542,214,937 m2 and 467,177 buildings that were significantly impacted during the 179 earthquakes that occurred in mainland China from 1976 to 2010. In multi-intensity regions, combined with numerical analysis and a probability model, a non-linear continuous regression model of the vulnerability, considering the empirical seismic damage area (number of buildings) and the ratio of seismic damage, was established. Moreover, a probability matrix model of the empirical seismic damage mean value was provided. Considering the coupling effect of the annual and seismic fortification factors, an empirical seismic vulnerability curve model was constructed in the multiple-intensity regions. A probability matrix model of the mean vulnerability index (MVI) was proposed, and was validated through the above-mentioned reconnaissance sample data. A matrix model of the MVI of the regions (19 provinces in mainland China) based on the parameter (MVI) was established.

키워드

과제정보

The bridge sample data of this study were derived from the seismic damage investigation database of the China Earthquake Administration (CAE) and the Wenchuan earthquake damage investigation team of the Institute of Engineering Mechanics of CAE. The research described in this paper was financially supported by the Fund of State Key Laboratory of Bridge Engineering Structural Dynamics (202104), Key Laboratory of Bridge Earthquake Resistance Technology, Ministry of Communications, PRC, Basic Scientific Research Business Expenses of Provincial Universities in Heilongjiang Province (2022-KYYWF-1056) and a project funded by Heilongjiang Postdoctoral Science Foundation (LBH-Z22294), China.

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