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Smart Structures and Systems Volume 30, Number 5, November 2022 , pages 513-520 DOI: https://doi.org/10.12989/sss.2022.30.5.513 |
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Multi-resolution bolt preload monitoring based on the acoustoelastic effect of ultrasonic guided waves |
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Ruili Fu, Ruiwei Mao, Bo Yuan, Dongdong Chen and Linsheng Huo
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Abstract | ||
During the long-time service of a bolt, its preload may suffer slight perturbations or significant reductions. It is a dilemma to monitor preload changes at high resolution and full scale. Approaches for bolt preload monitoring with multiresolution should be developed. In this paper, a simple and effective multi-resolution bolt preload monitoring approach using ultrasonic guided waves (UGW) is proposed. A linear relationship between the time-of-flight (TOF) variation of multi-reflected waves and preload is derived to theoretically reveal the multi-resolution properties of UGW. The variations of TOF before and after the slight preload perturbations are extracted by using a global evaluation method. Experimental results show that the signal-to-noise ratio (SNR) of the 1st, 2nd, and 3rd-reflected UGWs is larger than 20 dB. The resolution of the 2nd-reflected UGW is higher than that of the 1st-reflected UGW and lower than that of the 3rd-reflected UGW. The ultimate detectable resolutions of bolt preload (DRBP) of the 1st and 3th-reflected UGWs are 0.9% and 0.5%, respectively. By using the 1st and 3th-reflected guided waves, the bolt looseness with different degrees can be monitored simultaneously. | ||
Key Words | ||
acoustoelastic effect; bolt preload; multi-resolution; structural health monitoring; ultrasonic guided waves | ||
Address | ||
(1) Ruili Fu: College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing, Jiangsu, 210098, P.R. China; (2) Ruiwei Mao, Dongdong Chen: College of Civil Engineering, Nanjing Forestry University, Nanjing, Jiangsu, 210037, P.R. China; (3) Bo Yuan: School of Mechanical Engineering, Dalian University of Technology, Dalian, Liaoning, 116024, P.R. China; (4) Linsheng Huo: State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, Liaoning, 116024, P.R. China. | ||