Vibration‐based damage localization with load vectors under temperature changes - INRIA - Institut National de Recherche en Informatique et en Automatique Accéder directement au contenu
Article Dans Une Revue Structural Control and Health Monitoring Année : 2019

Vibration‐based damage localization with load vectors under temperature changes

Résumé

Damage detection and localization in civil or mechanical structures is a subject of active development and research. A few vibration-based methods have been developed so far, requiring for example modal parameter estimates in the reference and damaged states of the investigated structure, and for localization in addition a finite element model. For structures in operation, temperature has been shown to be a major nuisance to the efficiency of such methods since the modal parameters are varying not only with damage but also due to temperature variations. For detection, a few rejection approaches have been developed. Besides the increased complexity, environmental variation is hardly taken into account in localization approaches. In this paper, we propose a sensitivity-based correction of the identified modal parameters in the damaged state with respect to the temperature field in the reference state, based on a sensitivity analysis with respect to temperature dependent parameters of the finite element model in the reference state. The approach is then applied to the Stochastic Dynamic Damage Locating Vector (SDDLV) method, where its improved performance under non-uniform temperature variations is shown in a numerical application on a beam.
Fichier principal
Vignette du fichier
paper_rev1.pdf (1.43 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02293057 , version 1 (20-09-2019)

Identifiants

Citer

Md Delwar Hossain Bhuyan, Guillaume Gautier, Nicolas Le Touz, Michael Döhler, Falk Hille, et al.. Vibration‐based damage localization with load vectors under temperature changes. Structural Control and Health Monitoring, 2019, 26 (11), pp.e2439. ⟨10.1002/stc.2439⟩. ⟨hal-02293057⟩
72 Consultations
228 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More