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Lamb wave-based damage indicator for plate-like structures

Cantero-Chinchilla, Sergio; Chiachío-Ruano, Juan; Chiachío-Ruano, Manuel; Etxaniz, Josu; Aranguren, Gerardo; Jones, Arthur; Essa, Yasser; Martin De La Escalera, Federico

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Authors

Sergio Cantero-Chinchilla

Juan Chiachío-Ruano

Manuel Chiachío-Ruano

Josu Etxaniz

Gerardo Aranguren

Arthur Jones

Yasser Essa

Federico Martin De La Escalera



Abstract

Structural health monitoring based on ultrasonics typically involves complex data analysis. Ultrasound monitoring based on Lamb waves techniques are extensively used nowadays due to their efficiency in exploring large areas with relatively small attenuation. In recent years, baseline based methods have been developed to identify structural damage based on the mismatch between the measured signal and the baseline one. To this end, complex time-frequency transformations are required to obtain signal features such as the time of arrival or the energy content, as indicators of damage onset and growth. Notwithstanding this, on-board applications require highly efficient processing techniques due to information storage and exchange limitations. This paper proposes a very high efficiency signal processing methodology to obtain a novel cumulative damage factor using Lamb wave raw data. The new methodology has been tested using ultrasonic and damage data from a fatigue test in carbon-epoxy composite laminates. The data is taken from NASA Prognostics data repository. In view of the results, the method is able to efficiently detect the onset and extent of damage from early stages of degradation. Moreover, the results demonstrate a remarkable agreement between the growth of delamination area and the predicted cumulative damage factor.

Citation

Cantero-Chinchilla, S., Chiachío-Ruano, J., Chiachío-Ruano, M., Etxaniz, J., Aranguren, G., Jones, A., …Martin De La Escalera, F. (2018). Lamb wave-based damage indicator for plate-like structures. European Conference of the Prognostics and Health Management Society, 4(1),

Journal Article Type Article
Acceptance Date Jun 15, 2018
Publication Date Jul 2, 2018
Deposit Date Jan 9, 2019
Publicly Available Date Mar 29, 2024
Journal European Conference of the PHM Society
Print ISSN 2325-016X
Publisher Prognostics and Health Management Society (PHM Society)
Peer Reviewed Peer Reviewed
Volume 4
Issue 1
Keywords SHM, Lamb Waves, Fuzzy logic, Structural degradation, Damage indicator
Public URL https://nottingham-repository.worktribe.com/output/1222770
Publisher URL https://phmpapers.org/index.php/phme/article/view/368

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