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Review of Wireless RFID Strain Sensing Technology in Structural Health Monitoring

Authors :
Gang Liu
Qi-Ang Wang
Guiyue Jiao
Pengyuan Dang
Guohao Nie
Zichen Liu
Junyu Sun
Source :
Sensors, Vol 23, Iss 15, p 6925 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Strain-based condition evaluation has garnered as a crucial method for the structural health monitoring (SHM) of large-scale engineering structures. The use of traditional wired strain sensors becomes tedious and time-consuming due to their complex wiring operation, more workload, and instrumentation cost to collect sufficient data for condition state evaluation, especially for large-scale engineering structures. The advent of wireless and passive RFID technologies with high efficiency and inexpensive hardware equipment has brought a new era of next-generation intelligent strain monitoring systems for engineering structures. Thus, this study systematically summarizes the recent research progress of cutting-edge RFID strain sensing technologies. Firstly, this study introduces the importance of structural health monitoring and strain sensing. Then, RFID technology is demonstrated including RFID technology’s basic working principle and system component composition. Further, the design and application of various kinds of RFID strain sensors in SHM are presented including passive RFID strain sensing technology, active RFID strain sensing technology, semi-passive RFID strain sensing technology, Ultra High-frequency RFID strain sensing technology, chipless RFID strain sensing technology, and wireless strain sensing based on multi-sensory RFID system, etc., expounding their advantages, disadvantages, and application status. To the authors’ knowledge, the study initially provides a systematic comprehensive review of a suite of RFID strain sensing technology that has been developed in recent years within the context of structural health monitoring.

Details

Language :
English
ISSN :
14248220
Volume :
23
Issue :
15
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.4ed76b381a414f0d84ae6aed160fef6f
Document Type :
article
Full Text :
https://doi.org/10.3390/s23156925