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Regional Seismic Loss Assessment of Korean School Buildings Subdivided Into System Modules

한국학교 건축물의 건축적 & 구조적 특징을 고려한 시스템 모듈 기반 지역단위 지진손실평가

  • Chang, Hak Jong (Department of Architecture and Architectural Engineering, Yonsei University) ;
  • Hahn, Sang Jin (Department of Architecture and Architectural Engineering, Yonsei University) ;
  • Jo, Su Min (Department of Architecture and Architectural Engineering, Yonsei University) ;
  • Kim, Jun Hee (Department of Architecture and Architectural Engineering, Yonsei University)
  • 장학종 (연세대학교 건축공학과) ;
  • 한상진 (연세대학교 건축공학과) ;
  • 조수민 (연세대학교 건축공학과) ;
  • 김준희 (연세대학교 건축공학과)
  • Received : 2024.11.17
  • Accepted : 2024.12.09
  • Published : 2025.01.01

Abstract

The primary purpose of this study is to develop system modules of school buildings and the seismic loss function of the system modules for regional loss assessment of school buildings. System modules of school buildings were developed through statistical analysis of school facilities in Korea. The structural system of school buildings with non-seismic details is defined as reinforced concrete with partially masonry walls (RCPM), and 27 system modules of RCPM were developed considering the number of stories, spans, and the age of the building. System modules were designed to assess the structural behavior by applying the shear spring model and the shear failure of the columns of the school building. Probabilistic seismic demand models for each component of system modules were derived through nonlinear dynamic analysis to determine the relationship between seismic intensity, drift ratio, and peak floor acceleration of system modules. The seismic loss function was defined as the total damage ratio, which is the ratio of replacement cost to repair cost to evaluate the seismic loss quantitatively. The system module-based seismic loss well predicted the observed data. It will be possible to help many stakeholders make risk-informed decisions for a region through the regional loss assessment of school buildings in Korea.

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Acknowledgement

이 연구는 2024년도 정부(과학기술정보통신부)의 재원으로 한국연구재단(NRF-2021R1A2C2007064)의 지원에 의해 수행되었습니다. 이에 감사드립니다.