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General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2022 Vol.12(3): 99-103 ISSN: 2010-3697
DOI: 10.7763/IJMO.2022.V13.808

Damage Identification and Localization in an Aluminium Plate Based on Lamb Waves

Laura Țîrle, Ioan Ursu, and Daniela Enciu

Abstract—The article presents a method for identifying and locating damages in an aluminum plate using Lamb waves. For this, a network of PZT wafer type actuators/sensors is used to generate and detect Lamb waves. The damage location algorithm is sketched taking into account the network configuration of PZT sensors. The experimental results confirm the calculation procedure.  

Index Terms—Tructural health monitoring, Lamb waves, PZT sensors/actuators, aluminum plate specimen.

The authors are with National Institute for Aerospace Research “Elie Carafoli” – INCAS, Bucharest, Romania (corresponding author: Daniela Enciu; e-mail: enciu.daniela@incas.ro).


[PDF]

Cite: Laura Țîrle, Ioan Ursu, and Daniela Enciu , "Damage Identification and Localization in an Aluminium Plate Based on Lamb Waves ," International Journal of Modeling and Optimization vol. 12, no. 3, pp. 99-103, 2022.

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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