Shinji NAKAGAWA

Building damage prediction using the fragility curves considering the distribution of instrumental seismic intensity based on the damage survey date of the Mid-Niigata prefecture Earthquake in 2004 and the Niigataken Chuetsu-oki Earthquake in 2007

Satoru OHTSUKA

After the 2011 off the Pacific coast of Tohoku Earthquake, Municipalities to do damage estimation increased. But that have been used to damage date in urban areas of the Southern Hyogo prefecture earthquake in 1995. In this study, the fragility curves for buildings considering detailed characteristics of buildings were constructed based on the damage survey date of Nagaoka City of the Mid-Niigata prefecture Earthquake in 2004 and Kashiwazaki City of the Niigataken Chuetsu-oki Earthquake in 2007 compiled disaster certificate. The fragility curves considering construction period were developed using the damage date and the distribution of instrumental seismic intensity and geomorphological land classification.
Because of the observed seismic intensity, the distribution of instrumental seismic intensity data that is used in this study is an accurate seismic intensity distribution than the data of the Southern Hyogo prefecture earthquake in 1995 estimated from damage. Moreover, not only had houses of damage houses also is used without damage, thereby enabling the analysis of door-to-door unit.
In the conventional model, it is assumed urban, cannot apply with various regions. Therefore, by using the data of hilled rural area and coastal plain, by consider the land classification, to improve the versatility and accuracy. If the same land classification were revealed to be the fragility curves similar in different earthquake. However, it would variations occur when divided finely in land classification. So, by grouping in land classification of properties similar, the fragility curves was constructed. In addition, it was consideration of the construction period. As a result, it was identified that the impact of construction period by land classification is different.
It was examined by comparing the predicted results using the fragility curves and actual damage. It was identified that each fragility curves reflects the actual situation of building damage.

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