Meta-models for structural reliability and uncertainty quantification

Abstract : A meta-model (or a surrogate model) is the modern name for what was traditionally called a response surface. It is intended to mimic the behaviour of a computational model M (e.g. a finite element model in mechanics) while being inexpensive to evaluate, in contrast to the original model M which may take hours or even days of computer processing time. In this paper various types of meta-models that have been used in the last decade in the context of structural reliability are reviewed. More specifically classical polynomial response surfaces, polynomial chaos expansions and kriging are addressed. It is shown how the need for error estimates and adaptivity in their construction has brought this type of approaches to a high level of efficiency. A new technique that solves the problem of the potential biasedness in the estimation of a probability of failure through the use of meta-models is finally presented.
Type de document :
Communication dans un congrès
"Asian-Pacific Symposium on Structural Reliability and its Applications", May 2012, Singapore, Singapore. pp.1-24, 2012
Liste complète des métadonnées

https://hal-enpc.archives-ouvertes.fr/hal-00683179
Contributeur : Bruno Sudret <>
Soumis le : mercredi 28 mars 2012 - 09:41:58
Dernière modification le : jeudi 11 janvier 2018 - 06:26:31
Document(s) archivé(s) le : vendredi 29 juin 2012 - 02:21:38

Fichier

APSSRA-SudretKeynote.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00683179, version 1

Citation

Bruno Sudret. Meta-models for structural reliability and uncertainty quantification. "Asian-Pacific Symposium on Structural Reliability and its Applications", May 2012, Singapore, Singapore. pp.1-24, 2012. 〈hal-00683179〉

Partager

Métriques

Consultations de la notice

475

Téléchargements de fichiers

544