Identification and Damage Detection of a Shear Frame Model Based on a Blind Source Separation Method

Minas Spiridonakos 1 Nishant Yadav 2 Eleni Chatzi 3
1 ETH Zürich - Eidgenössische Technische Hochschule [Zürich]
2 University of Michigan [Ann Arbor]
3 IBK - Institute of Structural Engineering [Zurich]
Abstract : Blind source separation methods have recently emerged as a competitive alternate structural identification method offering a number of advantages when compared to traditional methods. These include the plain underlying model, its computational ease, and its robustness to various types of excitations. The aim of this study, is to experimentally assess the effectiveness of a second order BSS method for the problems of output-only structural identification and damage detection, by its application on the vibration response data of a four-storey shear frame. The structure under study is subjected to various types of input excitation and is tested under its ''healthy'' and a number of simulated ''damaged'' states. The results of the study show great potential of the BSS method for the efficient treatment of both problems.
Keywords : Damage detection and localization Modal analysis Statistical methods
Type de document :
Communication dans un congrès
Le Cam, Vincent and Mevel, Laurent and Schoefs, Franck. EWSHM - 7th European Workshop on Structural Health Monitoring, Jul 2014, Nantes, France. 2014
Liste complète des métadonnées

Littérature citée [10 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/hal-01022976
Contributeur : Anne Jaigu <>
Soumis le : vendredi 11 juillet 2014 - 12:40:14
Dernière modification le : vendredi 11 juillet 2014 - 13:29:51
Document(s) archivé(s) le : samedi 11 octobre 2014 - 12:06:56

Fichier

0356.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01022976, version 1

Collections

EWSHM2014 | EWSHM-FRAT1 | INSMI

Citation

Minas Spiridonakos, Nishant Yadav, Eleni Chatzi. Identification and Damage Detection of a Shear Frame Model Based on a Blind Source Separation Method. Le Cam, Vincent and Mevel, Laurent and Schoefs, Franck. EWSHM - 7th European Workshop on Structural Health Monitoring, Jul 2014, Nantes, France. 2014. 〈hal-01022976〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

359

Téléchargements de fichiers

327

Contact


archive-ouverte@inria.fr