Operational modal analysis with uncertainty quantification for SDDLV-based damage localization

Michael Döhler 1 Luciano Marin 1 Laurent Mevel 1 Dionisio Bernal 2
1 I4S - Statistical Inference for Structural Health Monitoring
IFSTTAR/COSYS - Département Composants et Systèmes, Inria Rennes – Bretagne Atlantique
2 Northeastern University [Boston]
Abstract : The Stochastic Dynamic Damage Locating Vector (SDDLV) approach is a vibration-based damage localization method based on a finite element model of a structure in a reference state and output-only measurements in both reference and damaged states. A stress field is computed for loads in the null space of a surrogate of the change in the transfer matrix at the sensor positions, where the null space is obtained based on the identified modal parameters in both structural states. Then, the damage location is related to positions where the stress is close to zero. The localization results of this generic approach are perturbed by mainly two sources: modal truncation (not all modes of the structure are available) and modal parameter identification errors (estimation is subject to statistical uncertainties). In this paper, we show how damage localization with the SDDLV approach is improved by taking into account the estimation uncertainties of the underlying identified modal parameters.
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Communication dans un congrès
AVE2014 - Analyse Vibratoire Expérimentale, Nov 2014, Blois, France. 2014, 〈10.1051/matecconf/20152002002〉
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https://hal.inria.fr/hal-01087591
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Soumis le : jeudi 5 février 2015 - 15:09:53
Dernière modification le : mercredi 11 avril 2018 - 02:00:35

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Michael Döhler, Luciano Marin, Laurent Mevel, Dionisio Bernal. Operational modal analysis with uncertainty quantification for SDDLV-based damage localization. AVE2014 - Analyse Vibratoire Expérimentale, Nov 2014, Blois, France. 2014, 〈10.1051/matecconf/20152002002〉. 〈hal-01087591〉

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