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

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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


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