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

Luis Moya, Erick Mas, Shunichi Koshimura, Fumio Yamazaki

    研究成果: Article査読

    9 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ページ(範囲)76-84
    ページ数9
    ジャーナルInternational Journal of Disaster Risk Reduction
    31
    DOI
    出版ステータスPublished - 2018 10

    ASJC Scopus subject areas

    • 地盤工学および土木地質学
    • 安全研究
    • 地質学

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