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dc.contributor.authorZhang, Hong
dc.contributor.authorJeng, Dong-Sheng
dc.contributor.authorCha, Fred
dc.contributor.authorBlumenstein, Michael
dc.contributor.editorCharles W Finkl
dc.date.accessioned2018-11-14T12:31:10Z
dc.date.available2018-11-14T12:31:10Z
dc.date.issued2007
dc.date.modified2008-07-16T01:26:50Z
dc.identifier.issn07490208
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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent365754 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherCoastal Education & Research Foundation
dc.publisher.placeUnited States
dc.publisher.urihttp://www.cerf-jcr.org/
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom374
dc.relation.ispartofpageto378
dc.relation.ispartofissueSI 50
dc.relation.ispartofjournalJournal of Coastal Research
dc.relation.ispartofvolumeSI 50
dc.rights.retentionY
dc.subject.fieldofresearchEarth Sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode04
dc.subject.fieldofresearchcode09
dc.titleParametric study on the Prediction of Wave-induced Liquefaction using an Artificial Neural Network Model
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, School of Engineering and Built Environment
gro.rights.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.
gro.date.issued2007
gro.hasfulltextFull Text
gro.griffith.authorBlumenstein, Michael M.
gro.griffith.authorCha, Fred
gro.griffith.authorZhang, Hong


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