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dc.contributor.authorZhang, LL
dc.contributor.authorZuo, ZB
dc.contributor.authorYe, GL
dc.contributor.authorJeng, DS
dc.contributor.authorWang, JH
dc.date.accessioned2017-05-03T11:59:04Z
dc.date.available2017-05-03T11:59:04Z
dc.date.issued2013
dc.date.modified2014-01-20T04:08:15Z
dc.identifier.issn0266-352X
dc.identifier.doi10.1016/j.compgeo.2012.09.011
dc.identifier.urihttp://hdl.handle.net/10072/55828
dc.description.abstractA key issue in assessment of rainfall-induced slope failure is a reliable evaluation of pore water pressure distribution and its variations during rainstorm, which in turn requires accurate estimation of soil hydraulic parameters. In this study, the uncertainties of soil hydraulic parameters and their effects on slope stability prediction are evaluated, within the Bayesian framework, using the field measured temporal pore-water pressure data. The probabilistic back analysis and parameter uncertainty estimation is conducted using the Markov Chain Monte Carlo simulation. A case study of a natural terrain site is presented to illustrate the proposed method. The 95% total uncertainty bounds for the calibration period are relatively narrow, indicating an overall good performance of the infiltration model for the calibration period. The posterior uncertainty bounds of slope safety factors are much narrower than the prior ones, implying that the reduction of uncertainty in soil hydraulic parameters significantly reduces the uncertainty of slope stability.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.publisherElsevier
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom72
dc.relation.ispartofpageto81
dc.relation.ispartofjournalComputers and Geotechnics
dc.relation.ispartofvolume48
dc.rights.retentionY
dc.subject.fieldofresearchCivil Geotechnical Engineering
dc.subject.fieldofresearchCivil Engineering
dc.subject.fieldofresearchResources Engineering and Extractive Metallurgy
dc.subject.fieldofresearchInterdisciplinary Engineering
dc.subject.fieldofresearchcode090501
dc.subject.fieldofresearchcode0905
dc.subject.fieldofresearchcode0914
dc.subject.fieldofresearchcode0915
dc.titleProbabilistic parameter estimation and predictive uncertainty based on field measurements for unsaturated soil slope
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2013
gro.hasfulltextNo Full Text
gro.griffith.authorJeng, Dong-Sheng


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