Structural Damage Detection Using PZT Transmission Line Circuit Model
Vieira Filho, Jozue and Cortez, Nicolás E. and de Oliveira, Mario A. and Lima, Luis Paulo M. and Park, Gyuhae (2024) Structural Damage Detection Using PZT Transmission Line Circuit Model. Sensors, 24 (22). p. 7113. ISSN 1424-8220
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Abstract
Arrangements of piezoelectric transducers, such as PZT (lead zirconate titanate), have been widely used in numerous structural health monitoring (SHM) applications. Usually, when two or more PZT transducers are placed close together, significant interference, namely crosstalk, appears. Such an effect is usually neglected in most SHM applications. However, it can potentially be used as a sensitive parameter to identify structural faults. Accordingly, this work proposes using the crosstalk effect in an arrangement of PZT transducers modeled as a multiconductor transmission line to detect structural damage. This effect is exploited by computing an impedance matrix representing a host structure with PZTs attached to it. The proposed method was assessed in an aluminum beam structure with two PZTs attached to it using finite element modeling in OnScale® software to simulate both healthy and damaged conditions. Similarly, experimental tests were also carried out. The results, when compared to those obtained using a traditional electromechanical impedance (EMI) method, prove that the new approach significantly improved the sensitivity of EMI-based technique in SHM applications.
Item Type: | Article |
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Identification Number: | 10.3390/s24227113 |
Dates: | Date Event 30 October 2024 Accepted 5 November 2024 Published Online |
Uncontrolled Keywords: | crosstalk effect, SHM, electromechanical impedance, structural monitoring, piezoelectric transducers |
Subjects: | CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-08 - electrical and electronic engineering |
Divisions: | Faculty of Computing, Engineering and the Built Environment > College of Engineering |
Depositing User: | Gemma Tonks |
Date Deposited: | 18 Nov 2024 14:45 |
Last Modified: | 18 Nov 2024 14:45 |
URI: | https://www.open-access.bcu.ac.uk/id/eprint/15970 |
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