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)]
< Reduce
Département Imagerie et Simulation pour le Contrôle (CEA, LIST) [DISC (CEA, LIST)]
Language
en
Article de revue
This item was published in
Journal of the Acoustical Society of America. 2018-02, vol. 143, p. EL87 - EL92
Acoustical Society of America
English Abstract
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 ...Read more >
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.Read less <
European Project
Quality assurance concepts for adhesive bonding of aircraft composite structures by advanced NDT
Origin
Hal imported