Structural Parameters Identification Using FRF of Incomplete Strain Data

Fariba Shadan 1 Akbar Esfandiari 1 Faramarz Khoshnoudian 1 Masoud Pedram 1
1 AUT - Amirkabir University of Technology
Abstract : Structural health monitoring by estimation of structural parameters changes such as stiffness and mass parameters by monitoring dynamic characteristics has attracted much attention in recent decades. Generally used dynamic characteristics to locate and quantify structural damages are natural frequencies, mode shapes, mode shape curvature, modal strain energy, frequency response function (FRFs) and so forth. Using FRF data has the advantage of avoiding modal analysis errors included due to indirectly extraction from the measured FRF data. Moreover, past studies showed that strains are more sensitive to localized damage compare to displacement. So, in this study FRF of strain data are utilized to identify unknown structural parameters using a sensitivity-based model updating approach. In this paper a quasi-linear sensitivity equation which diminishes the adverse effects of incompleteness of FRFs data is proposed for model updating. The efficiency of the proposed method is validated through a numerical 2D-frame example using FRF of strain data considering the side effects of noise and incompleteness of measurements. The results indicate that this method can locate and quantify the severity of damage precisely.
Keywords : Finite Elements based SHM Inverse problems Damage detection and localization
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 [16 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/hal-01022999
Contributeur : Anne Jaigu <>
Soumis le : vendredi 11 juillet 2014 - 12:43:34
Dernière modification le : vendredi 11 juillet 2014 - 13:29:35
Document(s) archivé(s) le : samedi 11 octobre 2014 - 12:15:30

Fichier

0151.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01022999, version 1

Collections

EWSHM2014 | EWSHM-FRAT6 | INSMI

Citation

Fariba Shadan, Akbar Esfandiari, Faramarz Khoshnoudian, Masoud Pedram. Structural Parameters Identification Using FRF of Incomplete Strain Data. Le Cam, Vincent and Mevel, Laurent and Schoefs, Franck. EWSHM - 7th European Workshop on Structural Health Monitoring, Jul 2014, Nantes, France. 2014. 〈hal-01022999〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

924

Téléchargements de fichiers

758

Contact


archive-ouverte@inria.fr