Development of a liquefaction damage assessment system based only on seismic records

M. Kazama, K. Toyabe, T. Otsuka, A. Kamura, S. Nakamura, S. Sato, K. Matsushita

研究成果: 書籍の章/レポート/Proceedings会議への寄与査読

抄録

A new artificial neural network (ANN) system was developed for assessing the damage risk due to liquefaction during an earthquake, based only on seismic records. Compared to conventional technology that requires information about the soil properties and constitution, there is a great advantage in being able to estimate damage from seismic records alone. Further, if small- and medium-level intensity earthquake records can be used to determine the risk of liquefaction in advance, preventive measures can be taken to avoid it. Here, we introduce the results of applying this system to the liquefaction damage observed during the 2011 Great East Japan Disaster in the Kanto area of Japan. In addition, we have made the system available to the public via the Internet, so we will also discuss how to use it.

本文言語英語
ホスト出版物のタイトルGeotechnical Engineering for the Preservation of Monuments and Historic Sites III - Proceedings of the 3rd International Issmge TC301 Symposium, 2022
編集者Renato Lancellotta, Carlo Viggiani, Alessandro Flora, Filomena de Silva, Lucia Mele
出版社CRC Press/Balkema
ページ702-712
ページ数11
ISBN(印刷版)9781032312620
DOI
出版ステータス出版済み - 2022
イベント3rd International Symposium on the Preservation of Monuments and Historic Sites, IS NAPOLI 2022 - Napoli, イタリア
継続期間: 2022 6月 222022 6月 24

出版物シリーズ

名前Geotechnical Engineering for the Preservation of Monuments and Historic Sites III - Proceedings of the 3rd International Issmge TC301 Symposium, 2022

会議

会議3rd International Symposium on the Preservation of Monuments and Historic Sites, IS NAPOLI 2022
国/地域イタリア
CityNapoli
Period22/6/2222/6/24

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