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Smart Structures and Systems Volume 16, Number 2, August 2015 , pages 281-294 DOI: https://doi.org/10.12989/sss.2015.16.2.281 |
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An anti-noise real-time cross-correlation method for bolted joint monitoring using piezoceramic transducers |
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Jiabiao Ruan, Zhimin Zhang, Tao Wang, Yourong Li and Gangbing Song
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| Abstract | ||
| Bolted joint connection is the most commonly used connection element in structures and devices. The loosening due to external dynamic loads cannot be observed and measured easily and may cause catastrophic loss especially in an extreme requirement and/or environment. In this paper, an innovative Real-time Cross-Correlation Method (RCCM) for monitoring of the bolted joint loosening was proposed. We apply time reversal process on stress wave propagation to obtain correlation signal. The correlation signal\' s peak amplitude represents the cross-correlation between the loosening state and the baseline working state; therefore, it can detect the state of loosening. Since the bolt states are uncorrelated with noise, the peak amplitude will not be affected by noise and disturbance while it increases SNR level and increases the measured signals\' reliability. The correlation process is carried out online through physical wave propagation without any other post offline complicated analyses and calculations. We implemented the proposed RCCM on a single bolt/nut joint experimental device to quantitatively detect the loosening states successfully. After that we implemented the proposed method on a real large structure (reaction wall) with multiple bolted joint connections. Loosening indexes were built for both experiments to indicate the loosening states. Finally, we demonstrated the proposed method\'s great anti-noise and/or disturbance ability. In the instrumentation, we simply mounted Lead Zirconium Titanate (PZT) patches on the device/structure surface without any modifications of the bolted connection. The low-cost PZTs used as actuators and sensors for active sensing are easily extended to a sensing network for large scale bolted joint network monitoring. | ||
| Key Words | ||
| Real-time Cross Correlation Method (RCCM); bolted joint loosening detection; PZT; time reversal; stress wave propagation; active sensing | ||
| Address | ||
| Jiabiao Ruan, Gangbing Song: Department of Mechanical Engineering, University of Houston, Houston, TX, USA Zhimin Zhang: Institute of Applied Physics, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China Tao Wang, Yourong Li: College of Mechanical Engineering and Automation, Wuhan University of Science and Technology, Wuhan, Hubei, 430081, P.R. China | ||