Parametric study on the Prediction of Wave-induced Liquefaction using an Artificial Neural Network Model

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Title Parametric study on the Prediction of Wave-induced Liquefaction using an Artificial Neural Network Model
Author Zhang, Hong; Jeng, Dong-Sheng; Cha, Deaho Fred; Blumenstein, Michael Myer
Journal Name Journal of Coastal Research
Editor Charles W Finkl
Year Published 2007
Place of publication United States
Publisher Coastal Education & Research Foundation
Abstract The prediction of the wave-induced liquefaction potential is particularly important for coastal engineers involved in the design of marine structures. An artificial neural network (ANN) model is used to estimate the waveinduced liquefaction in terms of wave and seabed sediment conditions. The sensitivity of wave and seabed sediment parameters is extensively investigated to get the most accurate results. The deterministic wave and liquefaction models are used to explain the parameter features physically. Numerical examples demonstrate the capacity of the ANN modelling approach in simulating complex mechanisms such as wave-induced liquefaction with adequate information.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.cerf-jcr.org/
Copyright Statement Copyright 2007 CERF. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Volume SI 50
Issue Number SI 50
Page from 374
Page to 378
ISSN 0749-0208
Date Accessioned 2008-02-01
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Neural Networks, Genetic Alogrithms and Fuzzy Logic; Ocean Engineering
URI http://hdl.handle.net/10072/17946
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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