期刊
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
卷 72, 期 -, 页码 -出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2023.3238033
关键词
Indexes; Probes; Ultrasonic imaging; Receivers; Monitoring; Couplings; Transmitters; Concrete health monitoring; sliding mode extremum-seeking (SMES); ultrasound (US) waves
This article presents a smart time-domain technique that uses embedded piezoelectric transducers to detect flaws in concrete structures. The method relies on the time-of-flight of ultrasound waves generated and sensed by the transducers, which are embedded in the concrete structure before pouring the concrete. A damage index is introduced to quantify the likelihood of defects in the region between the two probes. The index is comprised of a normalization function that is independent of signal strength and not sensitive to the amount of coupling between the sensors and the structure. A sliding mode extremum-seeking method is used for real-time calculation of the damage index. The proposed health monitoring system is verified through experimental results and shows improved performance compared to a conventional grid search method.
In this article, a smart time-domain technique is presented for detecting flaws in concrete structures using embedded piezoelectric transducers. The method relies on the time-of-flight of ultrasound (US) waves generated and sensed by piezoelectric transducers which are embedded in a concrete structure before pouring the concrete. A damage index is introduced to quantify the likelihood of defects in the region between the two probes. The index is comprised of a normalization function that is independent of the strength of the captured signal and not sensitive with respect to the amount of coupling between the embedded sensors and the structure. A sliding mode extremum-seeking (SMES) method is utilized for real time calculation of the damage index. The proposed health monitoring system was verified by experimental results. Comparisons are performed when using a conventional approach by a grid search method to demonstrate performance improvement of the proposed system.
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