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dc.contributor.authorJeng, Dong-Shengen_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.authorZhang, Hongen_US
dc.contributor.editorEditor exceeds RIMS limiten_US
dc.date.accessioned2017-05-03T14:30:33Z
dc.date.available2017-05-03T14:30:33Z
dc.date.issued2006en_US
dc.date.modified2009-09-09T07:15:23Z
dc.identifier.urihttp://hdl.handle.net/10072/13421
dc.description.abstractThe evaluation of wave-induced liquefaction is one of the key factors for analysing seabed characteristics and the design of marine structures. Numerous investigations of wave-induced liquefaction have been proposed. However, most previous research has focused on complicated mathematical theories and laboratory work. In this study, we contribute an alternative approach for the prediction of the waveinduced liquefaction using an Artificial Neural Network (ANN) and a Genetic Algorithm (GA)-based model. Combined ANN and GA-based models are still a newly developed area in coastal engineering. In this study, a Genetic Algorithm-based approach is proposed to find optimal weights for the ANN model. It reduces the training time, and improves the forecasting accuracy for wave-induced maximum liquefaction depth, compared to using the normal ANN training procedure. Simulation results demonstrate the capacity of the proposed ANN model for the prediction of wave induced maximum liquefaction depth in addition to the proposal of GAs for training the ANN model.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent665913 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherInterantional Society of Offshore and Polar Engineers (ISOPE)en_US
dc.publisher.placeCalifornia, USAen_US
dc.publisher.urihttp://www.isope.org/Default.htmen_US
dc.publisher.urihttp://www.isope.org/publications/publications.htmen_US
dc.relation.ispartofstudentpublicationYen_AU
dc.relation.ispartofconferencenameThe 16th International Offshore and Polar Engineering Conference (ISOPE) 2006en_US
dc.relation.ispartofconferencetitleThe Proceedings of The Sixteenth (2006) International Offshore and Polar Engineering Conferenceen_US
dc.relation.ispartofdatefrom2006-05-28en_US
dc.relation.ispartofdateto2006-06-02en_US
dc.relation.ispartoflocationSan Francisco, California,en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode291205en_US
dc.titleEvaluation of Wave-induced Liquefaction in a Porous Seabed: Using an Artificial Neural Network and a Genetic Algorithm -based modelen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2006 ISOPE. The attached file is reproduced here in accordance with the copyright policy of the publisher, for your personal use only. No further distribution permitted. For information about this conference please refer to the publisher's website.en_AU
gro.date.issued2006
gro.hasfulltextFull Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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