Pile settlement analysis on spatially random soil

Stefanou, G; Pittos, G; Papadrakakis, M

dc.contributor.author	Stefanou, G	en
dc.contributor.author	Pittos, G	en
dc.contributor.author	Papadrakakis, M	en
dc.date.accessioned	2014-03-01T02:53:25Z
dc.date.available	2014-03-01T02:53:25Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36307
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84856732585&partnerID=40&md5=bd87a880fb62c9322fdfb8b25512e1ea	en
dc.subject.other	Beam elements	en
dc.subject.other	Coefficient of variation	en
dc.subject.other	Computing power	en
dc.subject.other	Correlation lengths	en
dc.subject.other	Foundation settlement	en
dc.subject.other	Monte Carlo Simulation	en
dc.subject.other	Non-Gaussian	en
dc.subject.other	Parametric investigations	en
dc.subject.other	Pile-settlement	en
dc.subject.other	Plane strain element	en
dc.subject.other	Response variability	en
dc.subject.other	Simulation methods	en
dc.subject.other	Spatial variability	en
dc.subject.other	Statistical characteristics	en
dc.subject.other	Stochastic field	en
dc.subject.other	Stochastic finite elements	en
dc.subject.other	Upper Bound	en
dc.subject.other	Variability response functions	en
dc.subject.other	Civil engineering	en
dc.subject.other	Monte Carlo methods	en
dc.subject.other	Probability distributions	en
dc.subject.other	Soils	en
dc.subject.other	Stochastic systems	en
dc.subject.other	Piles	en
dc.title	Pile settlement analysis on spatially random soil	en
heal.type	conferenceItem	en
heal.publicationDate	2011	en
heal.abstract	With the spectacular increase of computing power and the advances in simulation methods, it is nowadays possible to investigate realistic foundation settlement problems in the framework of the Stochastic Finite Element (SFE) method. In this paper, a 2D pile settlement problem is treated considering uncertainty in the stiffness of the soil. The pile is modeled with beam elements while the soil is modeled with four-node quadrilateral plane strain elements. The spatial variability of the elastic modulus of the soil is described by a homogeneous non-Gaussian translation stochastic field with assumed statistical characteristics. The settlement variability is computed using Monte Carlo Simulation (MCS). Parametric investigations are carried out examining the effect of probability distribution, coefficient of variation and correlation length of the stochastic field on the response variability. Spectral-distribution-free upper bounds of the settlement variability are also obtained using a SFE approach based on variability response functions and compared with the results of MCS. © 2011 Taylor & Francis Group, London.	en
heal.journalName	Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering	en
dc.identifier.spage	2691	en
dc.identifier.epage	2696	en