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dc.contributor.authorJeng, Dong-Shengen_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.editorMuhammad Kamran/Shichao Zhangen_US
dc.date.accessioned2017-05-03T13:03:13Z
dc.date.available2017-05-03T13:03:13Z
dc.date.issued2004en_US
dc.date.modified2010-08-30T07:03:36Z
dc.identifier.issn16823915en_US
dc.identifier.urihttp://hdl.handle.net/10072/5139
dc.description.abstractAn 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.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherGrace Publications Networken_US
dc.publisher.placeFaisalabad, Pakistanen_US
dc.publisher.urihttp://medwelljournals.com/abstract/?doi=ajit.2004.375.385en_US
dc.relation.ispartofpagefrom375en_US
dc.relation.ispartofpageto385en_US
dc.relation.ispartofeditionMay, 2004en_US
dc.relation.ispartofissue5en_US
dc.relation.ispartofjournalAsian Journal of Information Technologyen_US
dc.relation.ispartofvolume3en_US
dc.subject.fieldofresearchcode280212en_US
dc.titleAssessment of Wave-Induced Liquefaction in a Porous Seabed: Application of an ANN 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.date.issued2004
gro.hasfulltextNo Full Text


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