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dc.contributor.authorZhang, Hongen_US
dc.contributor.authorJeng, Dong-Shengen_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.editorCharles W Finklen_US
dc.date.accessioned2017-04-24T11:48:46Z
dc.date.available2017-04-24T11:48:46Z
dc.date.issued2007en_US
dc.date.modified2008-07-16T01:26:50Z
dc.identifier.issn07490208en_US
dc.identifier.urihttp://hdl.handle.net/10072/17946
dc.description.abstractThe 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.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent365754 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherCoastal Education & Research Foundationen_US
dc.publisher.placeUnited Statesen_US
dc.publisher.urihttp://www.cerf-jcr.org/en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom374en_US
dc.relation.ispartofpageto378en_US
dc.relation.ispartofissueSI 50en_US
dc.relation.ispartofjournalJournal of Coastal Researchen_US
dc.relation.ispartofvolumeSI 50en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280212en_US
dc.subject.fieldofresearchcode291205en_US
dc.titleParametric study on the Prediction of Wave-induced Liquefaction using an Artificial Neural Network Modelen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 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.en_AU
gro.date.issued2007
gro.hasfulltextFull Text


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