2024
DOI: 10.1088/1361-665x/ad2603
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Early bolt looseness monitoring using the leading waves energy in piezoelectric active sensing

Tao Wang,
Hu Wang,
Dan Yang
et al.

Abstract: Bolt monitoring plays a vital role in ensuring the safe operation of engineering structures. The utilization of piezoelectric active sensing and analysis of ultrasonic energy transmitted through the interface of bolted connections has demonstrated high feasibility for monitoring bolt looseness. However, the ultrasonic energy saturation effect (i.e. the response signal energy changes slightly as the bolt preload variation) near the rated bolt preload restricts its applicability in early detection of bolt loosen… Show more

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Cited by 3 publications
(1 citation statement)
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“…The piezoelectric-sensor-based method detects bolt loosening by monitoring variations in the ultrasonic transmission energy loss at the interface of connected elements. Its use is widely recognized due to the sensor’s compact form, ease of installation, and capability to identify online system faults effectively [ 5 , 6 , 7 ]. Bolt-loosening detection employing impedance technology hinges on the piezoelectric qualities of piezoelectric materials, which exhibit altered impedance characteristics, as bolt looseness translates to reductions in structural stiffness and increases in damping [ 8 , 9 , 10 , 11 , 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…The piezoelectric-sensor-based method detects bolt loosening by monitoring variations in the ultrasonic transmission energy loss at the interface of connected elements. Its use is widely recognized due to the sensor’s compact form, ease of installation, and capability to identify online system faults effectively [ 5 , 6 , 7 ]. Bolt-loosening detection employing impedance technology hinges on the piezoelectric qualities of piezoelectric materials, which exhibit altered impedance characteristics, as bolt looseness translates to reductions in structural stiffness and increases in damping [ 8 , 9 , 10 , 11 , 12 ].…”
Section: Introductionmentioning
confidence: 99%