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Article: Reliability analysis of soil-water characteristics curve and its application to slope stability analysis

TitleReliability analysis of soil-water characteristics curve and its application to slope stability analysis
Authors
KeywordsBayesian analysis
Geotechnical problems
Model parameters
Observed data
Sandy loams
Issue Date2012
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/enggeo
Citation
Engineering geology, 2012, v. 135-136, p. 83-91 How to Cite?
AbstractSoil-water characteristic curve (SWCC) is a crucial input for modeling the geotechnical problems with unsaturated soil. The accuracy of modeling relies on the assessment of the model parameter uncertainty. In this paper a Bayesian framework is presented to evaluate the updated probability density function (PDF) of the uncertain model parameters for SWCC. The Bayesian analysis is applied to derive the PDF of the model parameters in various forms of van Genuchten equation using the observed data of sand, sandy loam and silty loam. The analysis demonstrates that a 2-parameter model is sufficient for curve-fitting of the SWCC and the two model parameters are approximately statistically independent. Furthermore, the model parameters are influenced by the soil texture. Finally, an engineering example of the probabilistic slope stability analysis is used to illustrate the application of the reliability of SWCC. © 2012 Elsevier B.V.
Persistent Identifierhttp://hdl.handle.net/10722/148835
ISSN
2015 Impact Factor: 2.196
2015 SCImago Journal Rankings: 1.810
ISI Accession Number ID
Funding AgencyGrant Number
National Natural Science Foundation of China50878076
University of Hong Kong201011159079
Funding Information:

The authors would like to acknowledge the financial supports from the research grant funded by the National Natural Science Foundation of China under grant no. 50878076 and the Seed Funding Program for Basic Research at the University of Hong Kong (grant no. 201011159079).

References

 

DC FieldValueLanguage
dc.contributor.authorChiu, CF-
dc.contributor.authorYan, WM-
dc.contributor.authorYuen, KV-
dc.date.accessioned2012-06-08T04:40:26Z-
dc.date.available2012-06-08T04:40:26Z-
dc.date.issued2012-
dc.identifier.citationEngineering geology, 2012, v. 135-136, p. 83-91-
dc.identifier.issn0013-7952-
dc.identifier.urihttp://hdl.handle.net/10722/148835-
dc.description.abstractSoil-water characteristic curve (SWCC) is a crucial input for modeling the geotechnical problems with unsaturated soil. The accuracy of modeling relies on the assessment of the model parameter uncertainty. In this paper a Bayesian framework is presented to evaluate the updated probability density function (PDF) of the uncertain model parameters for SWCC. The Bayesian analysis is applied to derive the PDF of the model parameters in various forms of van Genuchten equation using the observed data of sand, sandy loam and silty loam. The analysis demonstrates that a 2-parameter model is sufficient for curve-fitting of the SWCC and the two model parameters are approximately statistically independent. Furthermore, the model parameters are influenced by the soil texture. Finally, an engineering example of the probabilistic slope stability analysis is used to illustrate the application of the reliability of SWCC. © 2012 Elsevier B.V.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/enggeo-
dc.relation.ispartofEngineering geology-
dc.subjectBayesian analysis-
dc.subjectGeotechnical problems-
dc.subjectModel parameters-
dc.subjectObserved data-
dc.subjectSandy loams-
dc.titleReliability analysis of soil-water characteristics curve and its application to slope stability analysisen_US
dc.typeArticleen_US
dc.identifier.emailYan, WM: ryanyan@hku.hk-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.enggeo.2012.03.004-
dc.identifier.scopuseid_2-s2.0-84859378574-
dc.identifier.hkuros199906-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84859378574&selection=ref&src=s&origin=recordpage-
dc.identifier.volume135-136-
dc.identifier.spage83-
dc.identifier.epage91-
dc.identifier.eissn1872-6917-
dc.identifier.isiWOS:000304289900009-
dc.publisher.placeNetherlands-
dc.identifier.citeulike10493997-

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