Preprint Review Version 2 Preserved in Portico This version is not peer-reviewed

Ultrasonic Guided-Waves Sensors and Integrated Structural Health Monitoring Systems for Impact Detection and Localization: A Review

Version 1 : Received: 11 March 2021 / Approved: 12 March 2021 / Online: 12 March 2021 (16:33:03 CET)
Version 2 : Received: 6 April 2021 / Approved: 7 April 2021 / Online: 7 April 2021 (17:03:14 CEST)

How to cite: Capineri, L.; Bulletti, A. Ultrasonic Guided-Waves Sensors and Integrated Structural Health Monitoring Systems for Impact Detection and Localization: A Review. Preprints 2021, 2021030347 (doi: 10.20944/preprints202103.0347.v2). Capineri, L.; Bulletti, A. Ultrasonic Guided-Waves Sensors and Integrated Structural Health Monitoring Systems for Impact Detection and Localization: A Review. Preprints 2021, 2021030347 (doi: 10.20944/preprints202103.0347.v2).

Abstract

This review article is focused on the analysis of the state of the art of sensors for guided 9 ultrasonic waves for the detection and localization of impacts, therefore of interest for the structural 10 health monitoring (SHM). The recent developments in sensor technologies are then reported and 11 discussed through the many references in recent scientific literature. The physical phenomena re-12 lated to impact event and the main physical quantities are then introduced to discuss their im-13 portance in the development of the hardware and software components for SHM systems. An im-14 portant aspect of the article is the description of the different ultrasonic sensor technologies cur-15 rently present in the literature and what advantages and disadvantages they could bring, in relation 16 to the various phenomena investigated. In this context, the analysis of the front-end electronics is 17 deepened, the type of data transmission both in terms of wired and wireless technology and in terms 18 of online and offline signal processing. The integration aspects of sensors for the creation of net-19 works with autonomous nodes with the possibility of powering through energy harvesting devices 20 and the embedded processing capacity is also studied. Finally, the emerging sector of processing 21 techniques using deep learning and artificial intelligence concludes the review by indicating the 22 potential for the detection and autonomous characterization of the impacts.

Subject Areas

structural health monitoring (SHM); acoustic emission, guided waves, Lamb waves, sensors, ultrasound, piezoelectric, composites, piezopolymers, PVDF, interdigital transducer (IDT), PWAS, C-MUT, CMUT, mems, analog electronic front end; analog signal processing, impact localization, impact detection, sensor node, wireless sensor networks (WSN), IoT, aerospace, automotive, infrastructure, condition monitoring.

Comments (1)

Comment 1
Received: 7 April 2021
Commenter: Lorenzo Capineri
Commenter's Conflict of Interests: Author
Comment: The paper is completely revised after round 1.
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