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dc.contributor.authorGravanis, Elias-
dc.contributor.authorPantelidis, Lysandros-
dc.contributor.authorGriffiths, D. V.-
dc.date.accessioned2015-06-05T10:58:30Z-
dc.date.accessioned2015-12-09T13:52:12Z-
dc.date.available2015-06-05T10:58:30Z-
dc.date.available2015-12-09T13:52:12Z-
dc.date.issued2014-10-
dc.identifier.citationInternational Journal of Rock Mechanics and Mining Sciences, 2014, vol. 71, pp. 9-24en_US
dc.identifier.issn13651609-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/4533-
dc.description.abstractAn analytical solution for calculating the probability of failure of rock slopes against planar sliding is proposed. The method in based on the theory of random fields accounting for the influence of spatial variability on slope reliability. In this framework, both the cohesion and friction coefficient along a discontinuity are treated as Gaussian random fields which are fully described by their mean values View the MathML source, standard deviations View the MathML source, spatial correlation lengths View the MathML source, and the parameters View the MathML source which account for the cross-correlation between cohesion and coefficient of friction. As shown by the examples presented herein, the spatial correlation of shear strength can have an important influence on slope performance expressed by the probability of failure. This is a significant observation, since ignoring the influence of spatial correlation in design may lead to unconservative estimations of slope reliability.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Rock Mechanics and Mining Sciencesen_US
dc.rights© Elsevieren_US
dc.subjectRock slopesen_US
dc.subjectPlanar slidingen_US
dc.subjectProbabilistic slope stability analysisen_US
dc.subjectAnalytical solutionen_US
dc.subjectSpatial correlation lengthen_US
dc.subjectSpatial variabilityen_US
dc.titleAn analytical solution in probabilistic rock slope stability assessment based on random fieldsen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationUniversity of Coloradoen_US
dc.collaborationNewcastle Universityen_US
dc.subject.categoryEnvironmental Engineeringen_US
dc.journalsSubscriptionen_US
dc.reviewPeer Revieweden
dc.countryCyprusen_US
dc.countryUnited Statesen_US
dc.countryAustraliaen_US
dc.subject.fieldEngineering and Technologyen_US
dc.identifier.doi10.1016/j.ijrmms.2014.06.018en_US
dc.dept.handle123456789/148en
dc.relation.volume71en_US
cut.common.academicyear2019-2020en_US
dc.identifier.spage9en_US
dc.identifier.epage24en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn1365-1609-
crisitem.journal.publisherElsevier-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-5331-6661-
crisitem.author.orcid0000-0001-5979-6937-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
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