Synthetic building damage scenarios using empirical fragility functions: A case study of the 2016 Kumamoto earthquake

Luis Moya, Erick Mas, Shunichi Koshimura, Fumio Yamazaki

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

A methodology to create synthetic earthquake-induced building damage states for urban areas in Japan under specific earthquake events is presented in this paper. The methodology is based on empirical fragility curves for Japanese buildings, the building database of the study area and the strong motion magnitude spatial distribution. A stochastic approach was then used to allocate damage states to buildings. The synthetic building damage scenario is intended to be used as a platform for performing computational simulations of evacuation and relief distribution under multiple damage scenarios. The methodology is applied to an area within Mashiki town, Kumamoto Prefecture, which was affected by the Mw 7.0 2016 Kumamoto earthquake. The comparison of the synthetic buildings damage scenario with the surveyed data inventory shows good agreement in terms of the aggregate statistics.

Original languageEnglish
Pages (from-to)76-84
Number of pages9
JournalInternational Journal of Disaster Risk Reduction
Volume31
DOIs
Publication statusPublished - 2018 Oct

Keywords

  • Fragility curves
  • Synthetic building damage scenario
  • The 2016 Kumamoto earthquake

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Safety Research
  • Geology

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