Comparison between acoustic emission sensors and piezoelectric patches for damage detection in concrete beams

Abstract

Acoustic emission (AE) sensing is an established technique to monitor crack nucleation and propagation in different types of structural elements and for different damage scenarios. Although effective for crack monitoring in civil infrastructure, off-the-shelf AE sensors can be expensive, discouraging their installation in large numbers for assessing the global structural performance or monitoring multiple assets in the infrastructure network. For this reason, this paper explores the use of piezoelectric (PZT) patches as an alternative low-cost solution to AE sensors. These patches are considerably cheaper, do not require external power supply and can be easily attached to existing structural elements or embedded into new structures. Moreover, thanks to the direct and inverse piezoelectric effect, the same set of patches can act both as sensors and actuators, meaning that they can be used to “passively” monitor crack propagation over time, as well as to locate and characterise damage in ageing structures at a certain time by using the patches as emitters and receivers of waves. In this framework, this paper proposes a comparison between traditional AE sensors and PZT patches. The comparison is performed on a set of three concrete beams subjected to four-point bending loading, each equipped with two grids of sensors, i.e. 8 AE sensors and 8 patches. The beams are tested under increasing monotonic loading, from zero-load uncracked condition up to collapse.

Publication DOI: https://doi.org/10.58286/29827
Divisions: College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
Funding Information: The research was funded by the Royal Society Exchange Grant IES/R2/222240.
Additional Information: Copyright © 2024 The Authors under License CC-BY-4.0.
Uncontrolled Keywords: non-destructive testing,ultrasonic guided waves,acoustic emission sensing,ageing infrastructure,condition assessment
Publication ISSN: 1435-4934
Last Modified: 10 Oct 2024 07:28
Date Deposited: 16 Aug 2024 11:32
Full Text Link:
Related URLs: https://www.ndt ... s.php3?id=29827 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference article
Published Date: 2024-07-01
Accepted Date: 2024-06-18
Authors: Cazzulani, Gabriele
Alexakis, Haris (ORCID Profile 0000-0002-6588-2070)

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