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Fragility Analysis of A Scaled Model of Reinforced Concrete Column in Accordance with Similitude Law

상사법칙이 적용된 철근콘크리트 기둥 축소모형의 지진 취약도 분석

  • Park, Dong Uk (Seismic simulation test Center, Pusan National University) ;
  • Jeon, Bub Gyu (Seismic simulation test Center, Pusan National University) ;
  • Kim, Nam Sik (School of Urban, Architecture and Civil Engineering, Pusan National University) ;
  • Park, Jamin (Department of Civil and Environmental Engineering Seoul National University) ;
  • Cho, Jae-Yeol (Department of Civil and Environmental Engineering Seoul National University)
  • 박동욱 (부산대학교 지진방재연구센터) ;
  • 전법규 (부산대학교 지진방재연구센터) ;
  • 김남식 (부산대학교 건설융합학부) ;
  • 박자민 (서울대학교 건설환경공학부) ;
  • 조재열 (서울대학교 건설환경공학부)
  • Received : 2016.07.18
  • Accepted : 2016.12.28
  • Published : 2017.03.01

Abstract

Many studies are conducted in several fields for fragility analysis of structures or elements which is a probabilistic seismic safety analysis in consideration with uncertainty of seismic loading. It is hard to directly conduct fragility analysis for an infrastructure with social importance due to its size. Therefore, a fragility analysis for an infrastructure mainly conducted in element level or conducted with scaled model built in accordance with similarity law. In this article, fragility analysis for prototype and scaled model of reinforced concrete column was conducted with numerical models which had been updated by the results of shaking table test and pseudo dynamic test. As a result, response stress from the numerical analysis result of prototype model was higher than that from scaled model due to different stiffness ratios between steel and concrete. However, the probability of failure for scaled model was higher than that for prototype model because failure criteria for scaled model was down due to similarity law. Also it was evaluated that probability of failure by using log normal standard deviation of response stresses by spectrum matched accelerograms was more reliable than probability of failure by using existing coefficient of variation normally used.

Keywords

References

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