DEVELOPMENT OF REAL-TIME LIQUEFACTION MONITORING SYSTEM USING NEURAL NETWORK

• TAKADA Shiro

  神戸大学 工学部建設学科

• OZAKI Ryuzo

  JAPAN SOCIETY OF CIVIL ENGINEERS

Bibliographic Information

Other Title

• 学習ニューラルネットワークを用いたリアルタイム液状化モニタリングシステムの構築
• ガクシュウ ニューラル ネットワーク オ モチイタ リアルタイム エキジョウカ モニタリング システム ノ コウチク

Abstract

This paper shows a newly developed liquefaction monitoring system. The methodology of the detection of liquefaction at boring point based on the observed and estimated peak ground acceleration on ground surface is proposed. The neural network is applied to the proposed methodology. It seems that the accuracy of the detected results is appropriate. Further, the case study in which the objective area is Amagasaki City is conducted and the accuracy of the proposed methodology is verified. Also because of the characteristic of knowledge update in the neural network, it is possible to develop the real-time system that can feedback the information of liquefaction just after earthquake.

Journal

• Doboku Gakkai Ronbunshu

  Doboku Gakkai Ronbunshu 2000 (640), 109-118, 2000-01-21

  Japan Society of Civil Engineers

Keywords

• liquefaction
• real-time
• liquefaction monitoring system
• neural network
• scenario earthquake

Details

• CRID: 1390282680285138176
• NII Article ID: 130003801529
• NII Article ID: 10004540965
• NII Book ID: AN10014020
• DOI: 10.2208/jscej.2000.640_109
• ISSN: 18827187
• ISSN: 02897806
• NDL BIB ID: 4980810
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4980810
• Web Site: https://www.jstage.jst.go.jp/article/jscej1984/2000/640/2000_640_109/_pdf
• Data Source:
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  • CiNii Articles
• Abstract License Flag: Disallowed