Earthquakes and Structures

  • 제4권3호
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  • Pages.299-324
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  • 2013
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  • 2092-7614(pISSN)
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  • 2092-7622(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Evaluation of damage probability matrices from observational seismic damage data

  • Eleftheriadou, Anastasia K. (Laboratory of RC, Department of Civil Engineering, Democritus University of Thrace) ;
  • Karabinis, Athanasios I. (Laboratory of RC, Department of Civil Engineering, Democritus University of Thrace)
  • 투고 : 2011.11.08
  • 심사 : 2012.07.11
  • 발행 : 2013.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

The current research focuses on the seismic vulnerability assessment of typical Southern Europe buildings, based on processing of a large set of observational damage data. The presented study constitutes a sequel of a previous research. The damage statistics have been enriched and a wider damage database (178578 buildings) is created compared to the one of the first presented paper (73468 buildings) with Damage Probability Matrices (DPMs) after the elaboration of the results from post-earthquake surveys carried out in the area struck by the 7-9-1999 near field Athens earthquake. The dataset comprises buildings which developed damage in several degree, type and extent. Two different parameters are estimated for the description of the seismic demand. After the classification of damaged buildings into structural types they are further categorized according to the level of damage and macroseismic intensity. The relative and the cumulative frequencies of the different damage states, for each structural type and each intensity level, are computed and presented, in terms of damage ratio. Damage Probability Matrices (DPMs) are obtained for typical structural types and they are compared to existing matrices derived from regions with similar building stock and soil conditions. A procedure is presented for the classification of those buildings which initially could not be discriminated into structural types due to restricted information and hence they had been disregarded. New proportional DPMs are developed and a correlation analysis is fulfilled with the existing vulnerability relations.

키워드

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