dc.contributor.author |
Stefanou, G |
en |
dc.date.accessioned |
2014-03-01T11:45:06Z |
|
dc.date.available |
2014-03-01T11:45:06Z |
|
dc.date.issued |
2009 |
en |
dc.identifier.issn |
0045-7825 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/37226 |
|
dc.subject |
Monte Carlo simulation |
en |
dc.subject |
Parallel processing |
en |
dc.subject |
Solution techniques |
en |
dc.subject |
Stochastic finite elements |
en |
dc.subject |
Stochastic partial differential equations |
en |
dc.subject |
Stochastic processes and fields |
en |
dc.subject.classification |
Engineering, Multidisciplinary |
en |
dc.subject.classification |
Mathematics, Interdisciplinary Applications |
en |
dc.subject.classification |
Mechanics |
en |
dc.subject.other |
Computational fluid dynamics |
en |
dc.subject.other |
Computational mechanics |
en |
dc.subject.other |
Image segmentation |
en |
dc.subject.other |
Mechanical properties |
en |
dc.subject.other |
Mechanics |
en |
dc.subject.other |
Monte Carlo methods |
en |
dc.subject.other |
Partial differential equations |
en |
dc.subject.other |
Stochastic models |
en |
dc.subject.other |
Monte Carlo simulation |
en |
dc.subject.other |
Parallel processing |
en |
dc.subject.other |
Solution techniques |
en |
dc.subject.other |
Stochastic finite elements |
en |
dc.subject.other |
Stochastic partial differential equations |
en |
dc.subject.other |
Stochastic processes and fields |
en |
dc.subject.other |
Finite element method |
en |
dc.title |
The stochastic finite element method: Past, present and future |
en |
heal.type |
other |
en |
heal.identifier.primary |
10.1016/j.cma.2008.11.007 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/j.cma.2008.11.007 |
en |
heal.language |
English |
en |
heal.publicationDate |
2009 |
en |
heal.abstract |
A powerful tool in computational stochastic mechanics is the stochastic finite element method (SFEM). SFEM is in extension of the classical deterministic FE approach to the stochastic framework i.e. to the solution of static and dynamic problems with stochastic mechanical, geometric and/or loading properties. The considerable attention that SFEM received over the last decade call be mainly attributed to the Spec tacular growth of computing Power rendering possible the efficient treatment of large-scale problems. This article aims at providing a state-of-the-art review of past and recent developments in the SFEM area and indicating future directions as well as some open issues to be examined by the computational mechanics community in the future. (C) 2008 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.2008.11.007 |
en |
dc.identifier.isi |
ISI:000263630200013 |
en |
dc.identifier.volume |
198 |
en |
dc.identifier.issue |
9-12 |
en |
dc.identifier.spage |
1031 |
en |
dc.identifier.epage |
1051 |
en |