ADAPTIVE SPARSE POLYNOMIAL CHAOS EXPANSIONS – APPLICATION TO STRUCTURAL RELIABILITY


Abstract eng:
A method is proposed to build a sparse polynomial chaos (PC) expansion of a mechanical model whose input parameters are random. In this respect, an adaptive algorithm is described for automatically detecting the significant coefficients of the PC expansion. The latter can thus be computed by means of a relatively small number of possibly costly model evaluations, using a non intrusive regression scheme. The method is illustrated by a simple polynomial model as well as the example of the reliability of a frame structure.

Contributors:
Publisher:
ASRANet Ltd., 2008
Conference Title:
Conference Title:
4th International ASRANet Colloquium
Conference Venue:
Athens (GR)
Conference Dates:
2008-06-25 / 2008-06-27
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.



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 Record created 2014-11-20, last modified 2014-11-20


Original version of the author's contribution as presented on CD, paper No. 64.:
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