Probabilistic analysis in slope stability

Kavvadas, M; Karlaftis, M; Fortsakis, P; Stylianidi, E

dc.contributor.author	Kavvadas, M	en
dc.contributor.author	Karlaftis, M	en
dc.contributor.author	Fortsakis, P	en
dc.contributor.author	Stylianidi, E	en
dc.date.accessioned	2014-03-01T02:52:06Z
dc.date.available	2014-03-01T02:52:06Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35841
dc.subject	Eurocode 7	en
dc.subject	Monte Carlo simulation	en
dc.subject	Probabilistic analysis	en
dc.subject	Slope stability	en
dc.subject.other	Cohesive materials	en
dc.subject.other	Conservative value	en
dc.subject.other	Design codes	en
dc.subject.other	Deterministic design	en
dc.subject.other	Eurocodes	en
dc.subject.other	Field investigation	en
dc.subject.other	Geotechnical	en
dc.subject.other	Geotechnical designs	en
dc.subject.other	Ground parameters	en
dc.subject.other	Monte Carlo Simulation	en
dc.subject.other	Parametric analysis	en
dc.subject.other	Probabilistic analysis	en
dc.subject.other	Probability of failure	en
dc.subject.other	Soil slopes	en
dc.subject.other	Undrained conditions	en
dc.subject.other	Civil engineering	en
dc.subject.other	Geotechnical engineering	en
dc.subject.other	Probability	en
dc.subject.other	Safety factor	en
dc.subject.other	Slope stability	en
dc.subject.other	Soil mechanics	en
dc.subject.other	Monte Carlo methods	en
dc.title	Probabilistic analysis in slope stability	en
heal.type	conferenceItem	en
heal.identifier.primary	10.3233/978-1-60750-031-5-1650	en
heal.identifier.secondary	http://dx.doi.org/10.3233/978-1-60750-031-5-1650	en
heal.publicationDate	2009	en
heal.abstract	Geotechnical design is, perhaps, the civil engineering subject most dominated by uncertainty. Although partly due to limited field investigations, the main reason of this uncertainty is the highly heterogeneous and anisotropic nature of ground materials. Deterministic design methods as required by design codes, attempt to account for ground uncertainty by adopting conservative values of ground parameters and relatively large safety factors. This paper performs probabilistic analyses of soil slopes using Monte Carlo simulation in order to investigate the effect of these assumptions on the calculated probability of failure of the slopes. For slopes in saturated cohesive materials under undrained conditions an analytical solution is proposed while for drained conditions parametric analyses are performed. It is shown that slopes designed according to Eurocode 7 (EN1997-1) correspond to probabilities of failure up to 12%. Based on the results of these analyses, diagrams are proposed for the estimation of the probability of failure as a function of the geometrical, geotechnical and support parameters of the slope. © 2009 IOS Press.	en
heal.journalName	Proceedings of the 17th International Conference on Soil Mechanics and Geotechnical Engineering: The Academia and Practice of Geotechnical Engineering	en
dc.identifier.doi	10.3233/978-1-60750-031-5-1650	en
dc.identifier.volume	2	en
dc.identifier.spage	1650	en
dc.identifier.epage	1653	en