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A New Clustering Method for Damage Assessment of Fiber Reinforced Concrete Using Piezoelectric Transducers and a Wireless Impedance- Admittance Monitoring System

A New Clustering Method for Damage Assessment of Fiber Reinforced Concrete Using Piezoelectric Transducers and a Wireless Impedance- Admittance Monitoring System
Autor(en): , , ,
Beitrag für IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022, veröffentlicht in , S. 1177-1182
DOI: 10.2749/nanjing.2022.1177
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Nowadays there is an extended need for real-time applications of Structural Health Monitoring in existing concrete structures. This paper deals with the application of a new, low-cost and wireless ...
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Bibliografische Angaben

Autor(en): (Democritus University of Thrace, Xanthi, Greece)
(Democritus University of Thrace, Xanthi, Greece)
(Democritus University of Thrace, Xanthi, Greece)
(Democritus University of Thrace, Xanthi, Greece)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022
Veröffentlicht in:
Seite(n): 1177-1182 Anzahl der Seiten (im PDF): 6
Seite(n): 1177-1182
Anzahl der Seiten (im PDF): 6
DOI: 10.2749/nanjing.2022.1177
Abstrakt:

Nowadays there is an extended need for real-time applications of Structural Health Monitoring in existing concrete structures. This paper deals with the application of a new, low-cost and wireless SHM system that utilises small-sized piezoelectric transducers for continuous damage assessment of Fibre Reinforced Concrete specimen. A PZT-based Wireless impedance-Admittance Monitoring System used for detection of damage degree due to concrete cracking. The Electro-Mechanical Impedance signatures of an array of externally bonded PZT sensors in FRC specimen subjected to four-point bending in several damage states. Quantitative damage evaluation is achieved using the frequency signal measurements of the PZT transducers and comparisons of several commonly statistical indexes. Further, a new damage index based on k-means clustering methods that provides more reliable results on damage identification is also proposed and evaluated herein.

Copyright: © 2022 International Association for Bridge and Structural Engineering (IABSE)
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