Robust and efficient methods for stochastic finite element analysis using Monte Carlo simulation

Papadrakakis, M; Papadopoulos, V

dc.contributor.author	Papadrakakis, M	en
dc.contributor.author	Papadopoulos, V	en
dc.date.accessioned	2014-03-01T01:12:14Z
dc.date.available	2014-03-01T01:12:14Z
dc.date.issued	1996	en
dc.identifier.issn	0045-7825	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12027
dc.subject	Computational Efficiency	en
dc.subject	Monte Carlo Simulation	en
dc.subject	Preconditioned Conjugate Gradient Method	en
dc.subject	Stochastic Finite Elements	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.classification	Mathematics, Interdisciplinary Applications	en
dc.subject.classification	Mechanics	en
dc.subject.other	STRUCTURAL RESPONSE VARIABILITY	en
dc.subject.other	WEIGHTED INTEGRAL METHOD	en
dc.subject.other	SYSTEMS	en
dc.subject.other	BOUNDS	en
dc.title	Robust and efficient methods for stochastic finite element analysis using Monte Carlo simulation	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0045-7825(95)00978-7	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0045-7825(95)00978-7	en
heal.language	English	en
heal.publicationDate	1996	en
heal.abstract	In the present paper the weighted integral method and the Monte Carlo simulation are used together with innovative solution strategies based on the Preconditioned Conjugate Gradient method (PCG) to produce robust and efficient solutions for the stochastic finite element analysis of space frames. The numerical tests presented demonstrate the superiority of the proposed computational strategies compared to the widely used Neumann expansion method both in terms of accuracy and computational efficiency. The superiority is more pronounced in cases where the analysis needs to be performed for large variations of the stochastic parameters.	en
heal.publisher	ELSEVIER SCIENCE SA LAUSANNE	en
heal.journalName	Computer Methods in Applied Mechanics and Engineering	en
dc.identifier.doi	10.1016/0045-7825(95)00978-7	en
dc.identifier.isi	ISI:A1996VG76700008	en
dc.identifier.volume	134	en
dc.identifier.issue	3-4	en
dc.identifier.spage	325	en
dc.identifier.epage	340	en