Neural network model for the prediction of wave-induced liquefaction potential

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Title Neural network model for the prediction of wave-induced liquefaction potential
Author Jeng, Dong-Sheng; Cha, Deaho Fred; Blumenstein, Michael Myer
Journal Name Ocean Engineering
Editor Michael E. McCormick, Rameswar Bhattacharyya
Year Published 2004
Place of publication UK
Publisher Pergamon-Elsevier Science Ltd.
Abstract The prediction of wave-induced liquefaction has been recognised by coastal geotechnical engineers as an important factor when considering the design of marine structures. All existing models have been based on conventional approaches of engineering mechanics with limited laboratory work. In this study, we propose an alternative approach for the prediction of the maximum liquefaction depth, based on neural network (NN). Unlike previous engineering mechanics approaches, the proposed NN model is based on data learning knowledge, rather than on knowledge of mechanisms. Numerical examples demonstrate the capacity of the proposed NN model for the prediction of wave-induced liquefaction depth, which provides civil engineers with another effective tool.
Peer Reviewed Yes
Published Yes
Alternative URI
Volume 31
Issue Number 17-18
Page from 2073
Page to 2086
ISSN 0029-8018
Date Accessioned 2005-04-01
Date Available 2015-06-03T02:44:30Z
Language en_US
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Engineering and Information Technology
Subject PRE2009-Neural Networks, Genetic Alogrithms and Fuzzy Logic; PRE2009-Ocean Engineering
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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