Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Reliability Engineering and System Safety Année : 2021

Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty

Résumé

Reliability assessment in presence of epistemic uncertainty leads to consider the failure probability as a quantity depending on the state of knowledge about uncertain input parameters. The input joint distribution is often learnt from a small-sized dataset provided by operating experience. The computed failure probability depends on the estimated marginal distributions and the estimated copula distribution. This paper develops a reliability-oriented sensitivity analysis procedure in order to measure the influence exerted by the data-driven modeling of both the margins and the copula. The proposed methodology is validated for both deterministic and stochastic reliability methods through an extensive simulation study including several analytical performance functions as well as a real-life simulation code dealing with the buckling of a composite laminate plate.
Fichier principal
Vignette du fichier
DTIS21243.pdf (1.35 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03461603 , version 1 (01-12-2021)

Identifiants

Citer

Gabriel Sarazin, Jérôme Morio, Agnès Lagnoux, Mathieu Balesdent, Loïc Brevault. Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty. Reliability Engineering and System Safety, 2021, 215, pp.107733. ⟨10.1016/j.ress.2021.107733⟩. ⟨hal-03461603⟩
49 Consultations
90 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More