Locating damage in structures is a critical part of the complete structural health monitoring (SHM) approach. Most of the structures ideal for applying SHM exist in environments subjected to ambient noise. With embedded sensors in structures, a large collection of data can be gathered for processing. One use of the time domain data is to perform cross correlations between sensors, which result in a Green’s function estimate of the structure between each sensor combination. Using these results one can perform matched-field processing and signal processing techniques to locate a weak source representing the damage. Matched-field processing correlates the isolated damage complex spectral signal to a replica field of the structure, which in most cases this is produced through simulations. This process was demonstrated through experiments on an aluminum plate and a composite wind turbine blade where the replica field was determined experimentally. The results demonstrate the feasibility of this method.
LMA - Laboratoire de Mécanique et d’Acoustique
J. Tippmann - Passive damage detection and localization for structural health monitoring of complex structures by matched field processing and signal annulling using noise correlations
Amphithéâtre François Canac, LMA
Le 31 mai 2016 de 11h00 à 12h00
Jeffery Tippmann, Post-doctorant
MPL, Scripps Institution of Oceanography, UCSD-San Diego, USA
Voir en ligne : Page personnelle de Jeffery Tippmann
