Damage assessment of a titanium skin adhesively bonded to carbon fiber–reinforced plastic omega stringers using acoustic emission

Journal Article (2021)
Authors

M. Saeedifar (Structural Integrity & Composites)

Mohamed N. Saleh (Structural Integrity & Composites)

Peter Nijhuis

S. Teixeira Freitas (Structural Integrity & Composites)

Dimitrios Zarouchas (Structural Integrity & Composites)

Research Group
Structural Integrity & Composites
Copyright
© 2021 M. Saeedifar, M. Saleh, Peter Nijhuis, S. Teixeira De Freitas, D. Zarouchas
To reference this document use:
https://doi.org/10.1177/14759217211001752
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 M. Saeedifar, M. Saleh, Peter Nijhuis, S. Teixeira De Freitas, D. Zarouchas
Research Group
Structural Integrity & Composites
Issue number
2
Volume number
21
Pages (from-to)
407-423
DOI:
https://doi.org/10.1177/14759217211001752
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Abstract

This study is devoted to the use of acoustic emission technique for a comprehensive damage assessment, that is, damage detection, localization, and classification, of an aeronautical metal-to-composite bonded panel. The structure comprised a titanium panel adhesively bonded to carbon fiber–reinforced plastic omega stringers. The panel contained a small initial artificial debonding between the titanium panel and one of the carbon fiber–reinforced plastic stringers. The panel was subjected to a cyclic increasing in-plane compression load, including loading, unloading, and then reloading to a higher load level, until the final fracture. The generated acoustic emission signals were captured by the acoustic emission sensors, and digital image correlation was also used to obtain the strain field on the surface of the panel during the test. The results showed that acoustic emission can accurately detect the damage onset, localize it, and also trace its evolution. The acoustic emission results not only were consistent with the digital image correlation results, but also managed to detect the damage initiation earlier than digital image correlation. Finally, the acoustic emission signals were clustered using particle swarm optimization method to identify the different damage mechanisms. The results of this study demonstrate the capability of acoustic emission for the comprehensive damage characterization of aeronautical bi-material adhesively bonded structures.

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