Towards extraction of vibration-based damage indicators

Abstract : After a brief review of vibration based damage identification methods, three different algorithms for damage identification are applied to the case of the benchmark Z24 bridge in this paper. Data-driven as well as model-based methods are discussed, including input-output algorithms for taking into account the effect of environmental and/or operational sources on the variability of damage features. A further class of data-driven methods that use finite element information is finally introduced as a possible future development.
Type de document :
Communication dans un congrès
EWSHM - 8th European Workshop on Structural Health Monitoring, Jul 2016, Bilbao, Spain
Liste complète des métadonnées

Littérature citée [23 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01344178
Contributeur : Michael Döhler <>
Soumis le : lundi 11 juillet 2016 - 14:20:09
Dernière modification le : mercredi 11 avril 2018 - 02:01:24
Document(s) archivé(s) le : mercredi 12 octobre 2016 - 13:20:14

Fichier

227_Limongelli.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01344178, version 1

Collections

Citation

Maria Pina Limongelli, Eleni Chatzi, Michael Döhler, Geert Lombaert, Edwin Reynders. Towards extraction of vibration-based damage indicators. EWSHM - 8th European Workshop on Structural Health Monitoring, Jul 2016, Bilbao, Spain. 〈hal-01344178〉

Partager

Métriques

Consultations de la notice

300

Téléchargements de fichiers

195