Stochastic finite element analysis of shells with combined random material and geometric properties

Stefanou, G; Papadrakakis, M

dc.contributor.author	Stefanou, G	en
dc.contributor.author	Papadrakakis, M	en
dc.date.accessioned	2014-03-01T01:21:28Z
dc.date.available	2014-03-01T01:21:28Z
dc.date.issued	2004	en
dc.identifier.issn	0045-7825	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16249
dc.subject	Response variability	en
dc.subject	Shell finite element	en
dc.subject	Spectral representation	en
dc.subject	Stochastic analysis	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.classification	Mathematics, Interdisciplinary Applications	en
dc.subject.classification	Mechanics	en
dc.subject.other	Computer simulation	en
dc.subject.other	Elastic moduli	en
dc.subject.other	Finite element method	en
dc.subject.other	Monte Carlo methods	en
dc.subject.other	Poisson ratio	en
dc.subject.other	Random processes	en
dc.subject.other	Geometric properties	en
dc.subject.other	Spectral representation methods	en
dc.subject.other	Shells (structures)	en
dc.subject.other	finite element method	en
dc.title	Stochastic finite element analysis of shells with combined random material and geometric properties	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.cma.2003.10.001	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.cma.2003.10.001	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	In this work, an extended stochastic formulation of the triangular composite facet shell element TRIC is presented for the case of combined uncertain material (Young's modulus, Poisson's ratio) and geometric (thickness) properties. These properties are assumed to be described by uncorrelated two-dimensional homogeneous stochastic fields. The stochastic finite element analysis of shell structures is performed using the spectral representation method for the description of the random fields in conjunction with Monte Carlo simulation (MCS) for the computation of the response variability. Useful conclusions regarding the influence of each one of the structural parameters on the response variability are derived from the numerical tests examined. (C) 2003 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE SA	en
heal.journalName	Computer Methods in Applied Mechanics and Engineering	en
dc.identifier.doi	10.1016/j.cma.2003.10.001	en
dc.identifier.isi	ISI:000187750200007	en
dc.identifier.volume	193	en
dc.identifier.issue	1-2	en
dc.identifier.spage	139	en
dc.identifier.epage	160	en