Please use this identifier to cite or link to this item: https://doi.org/10.1080/17499518.2013.801273
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dc.titleProbability distribution for mobilised shear strengths of spatially variable soils under uniform stress states
dc.contributor.authorChing, J.
dc.contributor.authorPhoon, K.-K.
dc.date.accessioned2014-10-09T07:38:42Z
dc.date.available2014-10-09T07:38:42Z
dc.date.issued2013-09
dc.identifier.citationChing, J., Phoon, K.-K. (2013-09). Probability distribution for mobilised shear strengths of spatially variable soils under uniform stress states. Georisk 7 (3) : 209-224. ScholarBank@NUS Repository. https://doi.org/10.1080/17499518.2013.801273
dc.identifier.issn17499518
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/91156
dc.description.abstractThis paper studies the probability distribution for the mobilised shear strength of a spatially variable soil mass that is subjected to a uniform stress state. Based on the mechanisms identified in two previous studies conducted by the authors, this study further proposes a probability distribution model for the mobilised shear strength that is based on the extreme value of normal random variables. It is concluded that the probability distribution of the mobilised shear strength of a spatially variable soil mass is affected by the line averaging effect along the potential slip plane and the number of independent potential slip planes. These two factors depend on the stress state and the orientation of the potential slip planes. With this model, the mobilised shear strength of a spatially variable soil mass can be simulated without the need of conducting random-field finite-element analyses. In addition, the strength characteristic value that is the 5% quantile in the Eurocodes can be easily derived from this model. © 2013 Taylor & Francis.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/17499518.2013.801273
dc.sourceScopus
dc.subjectprobability distribution
dc.subjectrandom field
dc.subjectshear strength
dc.subjectspatial variability
dc.typeArticle
dc.contributor.departmentCIVIL & ENVIRONMENTAL ENGINEERING
dc.description.doi10.1080/17499518.2013.801273
dc.description.sourcetitleGeorisk
dc.description.volume7
dc.description.issue3
dc.description.page209-224
dc.identifier.isiut000409718700006
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