Assessment of Wave-Induced Liquefaction in a Porous Seabed: Application of an ANN Model

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Title Assessment of Wave-Induced Liquefaction in a Porous Seabed: Application of an ANN Model
Author Cha, Deaho Fred; Jeng, Dong Sheng; Blumenstein, Michael Myer
Journal Name Asian Journal of Information Technology
Editor Muhammad Kamran/Shichao Zhang
Year Published 2004
Place of publication Faisalabad, Pakistan
Publisher Grace Publications Network
Abstract An evaluation of wave-induced liquefaction is one of the most important factors, which must be considered in the design of marine structures. Numerous models for wave-induced liquefaction have been proposed in the past. However, all previous models have been based on the conventional approaches of engineering mechanics with limited laboratory work. Unlike previous research, we propose an alterative approach, based on an artificial neural network (ANN), for the prediction of the maximum liquefaction depth. Numerical examples demonstrate the capacity of the proposed ANN model for the prediction of wave-induced liquefaction depth, which provides civil engineers with another effective tool.
Peer Reviewed Yes
Published Yes
Alternative URI http://medwelljournals.com/abstract/?doi=ajit.2004.375.385
Volume 3
Issue Number 5
Edition May, 2004
Page from 375
Page to 385
ISSN 1682-3915
Date Accessioned 2005-04-03
Date Available 2010-08-30T07:03:36Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Engineering and Information Technology
Subject PRE2009-Neural Networks, Genetic Alogrithms and Fuzzy Logic
URI http://hdl.handle.net/10072/5139
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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