Multichannel Multiple Signal Classification for dispersion curves extraction of ultrasonic guided waves
RIBAY, Guillemette
Département Imagerie et Simulation pour le Contrôle (CEA, LIST) [DISC (CEA, LIST)]
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Département Imagerie et Simulation pour le Contrôle (CEA, LIST) [DISC (CEA, LIST)]
RIBAY, Guillemette
Département Imagerie et Simulation pour le Contrôle (CEA, LIST) [DISC (CEA, LIST)]
< Réduire
Département Imagerie et Simulation pour le Contrôle (CEA, LIST) [DISC (CEA, LIST)]
Langue
en
Article de revue
Ce document a été publié dans
Journal of the Acoustical Society of America. 2018-02, vol. 143, p. EL87 - EL92
Acoustical Society of America
Résumé en anglais
Multichannel acquisition of ultrasonic guided waves can be used to extract dispersion curves, from the time-position domain $(t-x)$ to the frequency-wavenumber $(f-k)$, or frequency-velocity domain $(f-c)$. Accurate ...Lire la suite >
Multichannel acquisition of ultrasonic guided waves can be used to extract dispersion curves, from the time-position domain $(t-x)$ to the frequency-wavenumber $(f-k)$, or frequency-velocity domain $(f-c)$. Accurate measurements are needed in order to be able to precisely characterize the specimen, by improving the extraction of low amplitude modes and enhance resolution. The proposed method is based on the MUltiple SIgnal Classification algorithm combined with a multi-emitter and multi-receiver acquisition. In this work, this method is applied on experimental data to extract dispersive information from multilayered bonded specimens.< Réduire
Projet Européen
Quality assurance concepts for adhesive bonding of aircraft composite structures by advanced NDT
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