Specifying manufacturing tolerances for a given amplification factor: a nonparametric probabilistic methodology - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2003

Specifying manufacturing tolerances for a given amplification factor: a nonparametric probabilistic methodology

Résumé

It is known that the forced response ofmistuned bladed disks can strongly be amplified in comparison with the forced response of the tuned system. The random character of mistuning thus requires the construction of probabilisticsmodels of randomuncertainties. This paper presents a nonparametric probabilisticmodel of random uncertainties which is adapted to the problematics of the blade mistuning. This nonparametric approach allows all the uncertainties yielding mistuning (manufacturing tolerances, dispersion of materials) to be taken into account and includes also the uncertainties due to the modeling errors. This new probabilistic model takes into account both the mistuning of the blade eigenfrequencies and the blade modal shapes. The first point concerns the construction of this nonparametric approach in order to perform a mistuning analysis. The second part is devoted to the inverse problem associated with the manufacturing tolerances. A relationship between the manufacturing tolerances and the level of mistuning is also constructed.
Fichier principal
Vignette du fichier
conference-2003-ASME-TurboExpo-Atlanta-capiez-lernout-soize-preprint.pdf (374.94 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00687875 , version 1 (15-04-2012)

Identifiants

  • HAL Id : hal-00687875 , version 1

Citer

Evangéline Capiez-Lernout, Christian Soize. Specifying manufacturing tolerances for a given amplification factor: a nonparametric probabilistic methodology. ASME Turbo Expo: Land, Sea and Air 2003, Jun 2003, Atlanta, Georgia, United States. GT-2003-38050, pp. 1-12. ⟨hal-00687875⟩
393 Consultations
171 Téléchargements

Partager

Gmail Facebook X LinkedIn More