| Issue |
MATEC Web of Conferences
Volume 20, 2015
AVE2014 - 4ième Colloque Analyse Vibratoire Expérimentale / Experimental Vibration Analysis
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 7 | |
| Section | Numerical/Experimental combined approach | |
| DOI | https://doi.org/10.1051/matecconf/20152002002 | |
| Published online | 27 January 2015 | |
Operational modal analysis with uncertainty quantification for SDDLV-based damage localization
1 Inria, Campus de Beaulieu, 35042 Rennes, France
2 Northeastern University, Department of Civil and Environmental Engineering, Center for Digital Signal Processing, 360 Huntington Avenue, Boston, MA 02115, USA
a e-mail: michael.doehler@inria.fr
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.
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.