Transfer matrices-based output-only statistical damage localization and quantification on a frame structure

Md Delwar Hossain Bhuyan 1, 2 Saeid Allahdadian 3 Michael Döhler 1, 2 Yann Lecieux 4 Laurent Mevel 1, 2 Franck Schoefs 4 Carlos Ventura 3
1 IFSTTAR/COSYS/SII - Structure et Instrumentation Intégrée
2 I4S - Statistical Inference for Structural Health Monitoring
IFSTTAR/COSYS - Département Composants et Systèmes, Inria Rennes – Bretagne Atlantique
3 UBC - University of British Columbia
4 GeM - Institut de Recherche en Génie Civil et Mécanique
Abstract : Damage localization in civil or mechanical structures is a subject of active development and research. In this paper, vibration measurements and a finite element model are used to locate loss of stiffness in a steel frame structure at the University of British Columbia. Damage localization is not very well developed so far and few methods show promising properties in practice. Among them, the Stochastic Dynamic Damage Locating Vector (SDDLV) approach has interesting capabilities. In this paper, it is compared to a sensitivity based approach developed by the authors. Both approaches have in common to be built on the estimated transfer matrix difference between reference and damaged states. Both methods are tested for localization and quantification on the Yellow Frame structure at the University of British Columbia.
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Communication dans un congrès
IWSHM - 11th International Workshop on Structural Health Monitoring, Sep 2017, Stanford, United States
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Soumis le : lundi 18 septembre 2017 - 16:28:08
Dernière modification le : mercredi 11 avril 2018 - 02:00:14

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Md Delwar Hossain Bhuyan, Saeid Allahdadian, Michael Döhler, Yann Lecieux, Laurent Mevel, et al.. Transfer matrices-based output-only statistical damage localization and quantification on a frame structure. IWSHM - 11th International Workshop on Structural Health Monitoring, Sep 2017, Stanford, United States. 〈hal-01589536〉

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