Earthquake Damage Assessment of Buildings Using Opendata in the Pohang and the Gyeongju Earthquakes

Opendata 기반 포항 및 경주지진에 의한 건물손상 평가

  • Eem, Seung-Hyun (Structural and Seismic Safety Research Team, Korea Atomic Energy Research Institute) ;
  • Yang, Beomjoo (Multifunctional Structural Composite Research Center, Korea Institute of Science and Technology) ;
  • Jeon, Haemin (Department of Civil and Environmental Engineering, Hanbat National University)
  • 임승현 (한국원자력연구원, 구조지진안전연구실) ;
  • 양범주 (한국과학기술연구원, 다기능구조용복합소재연구센터) ;
  • 전해민 (한밭대학교, 건설환경공학과)
  • Received : 2018.02.19
  • Accepted : 2018.03.27
  • Published : 2018.04.30


Severe earthquakes can cause damage to society both socially and economically. An appropriate initial response can alleviate damage from severe earthquakes. In order to formulate an appropriate initial response, it is necessary to identify damage situations in societies; however, it is difficult to grasp this information immediately after an earthquake event. In this study, an earthquake damage assessment methodology for buildings is proposed for estimating damage situations immediately after severe earthquakes. A response spectrum database is constructed to provide response spectra at arbitrary locations from earthquake measurements immediately after the event. The fragility curves are used to estimate the damage of the buildings. Earthquake damage assessment is performed from the response spectrum database at the building scale to provide enhanced damage condition information. Earthquake damage assessment for Gyeongju city and Pohang city were conducted using the proposed methodology, when an earthquake occurred on September 12, 2016, and November 15, 2017. Results confirm that the proposed earthquake damage assessment effectively represented the earthquake damage situation in the city to decide on an appropriate initial response by providing detailed information at the building scale.


Earthquake damage assessment;Pohang earthquake;Gyeongju earthquake;Response spectrum


Grant : 복합자연재해 리스크 평가 기술 개발


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