Title
Synthetic building damage scenarios using empirical fragility functions: A case study of the 2016 Kumamoto earthquake
Date Issued
01 October 2018
Access level
open access
Resource Type
journal article
Author(s)
Tohoku University
Tohoku University
Publisher(s)
Elsevier Ltd
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.
Start page
76
End page
84
Volume
31
Language
English
OCDE Knowledge area
Ingeniería de la construcción Ciencias ambientales
Scopus EID
2-s2.0-85046479094
Source
International Journal of Disaster Risk Reduction
ISSN of the container
22124209
Sponsor(s)
This research is supported by the Japan Science and Technology Agency (JST) ( J150002645 ) through the SICORP project “Increasing Urban Resilience to Large Scale Disaster: The Development of a Dynamic Integrated Model for Disaster Management and Socio-Economic Analysis (DIM2SEA).” The building damage survey used in the case study was provided by Masumi Yamada. Futhermore, the anonymous reviewers, whose comments improved the quality of the article, are gratefully acknowledged.
Sources of information: Directorio de Producción Científica Scopus