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dc.contributor.authorIsmail, A
dc.contributor.authorJeng, D-S
dc.date.accessioned2017-05-03T11:58:38Z
dc.date.available2017-05-03T11:58:38Z
dc.date.issued2011
dc.identifier.issn0952-1976
dc.identifier.doi10.1016/j.engappai.2011.02.008
dc.identifier.urihttp://hdl.handle.net/10072/63836
dc.description.abstractAn accurate estimation of pile response to loading is a challenging task due to the complexity of the soil-pile interactions and uncertainties in the soil properties. Conventional methods of predicting pile load-settlement relationship either oversimplify the problem or require the parameters that are difficult to determine in the laboratory. In this study, a high-order neural network (HON) is developed to simulate the pile load-settlement curve using properties of the pile and SPT data along the depth of pile embedment as inputs. The results indicated a significant improvement in the quality of HON predictions over that of BPN, RBF and GRNN models. Based on the comparisons with the predictions of elastic and hyperbolic models, the proposed HON model provides better predictions than existing theoretical models.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom813
dc.relation.ispartofpageto821
dc.relation.ispartofissue5
dc.relation.ispartofjournalEngineering Applications of Artificial Intelligence
dc.relation.ispartofvolume24
dc.rights.retentionY
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchCivil geotechnical engineering
dc.subject.fieldofresearchcode46
dc.subject.fieldofresearchcode40
dc.subject.fieldofresearchcode400502
dc.titleModelling load–settlement behaviour of piles using high-order neural network (HON-PILE model)
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorJeng, Dong-Sheng


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