Meta-models for structural reliability and uncertainty quantification - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2012

Meta-models for structural reliability and uncertainty quantification

(1, 2)
1
2

Résumé

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.
Fichier principal
Vignette du fichier
APSSRA-SudretKeynote.pdf (883.86 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-00683179 , version 1 (28-03-2012)

Identifiants

  • HAL Id : hal-00683179 , version 1

Citer

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. ⟨hal-00683179⟩
397 Consultations
1088 Téléchargements

Partager

Gmail Facebook Twitter LinkedIn More