Acoustic emission monitoring of stayed cables based on wavelet analysis

Ting Jin; Zhi Sun; Li-Min Sun

doi:10.1117/12.776438

8 April 2008 Acoustic emission monitoring of stayed cables based on wavelet analysis

Ting Jin, Zhi Sun, Li-Min Sun

Proceedings Volume 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008; 693236 (2008) https://doi.org/10.1117/12.776438
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2008, San Diego, California, United States

Abstract

Recent disease surveys on some cable-supported bridges show that cable corrosion is one of the main dangers for bridge safety, serviceability and durability. Since cables are the main supporting components for these bridges, this type of damage must be detected at the earliest possible stage for further maintenance. Acoustic monitoring technique shows an efficient way for this purpose. This paper presents such a research on modeling and wavelet analyzing the acoustic emission signal in seven-wire strands for damage diagnosis. In order to demonstrate the accuracy of the proposed technique, the propagation of the guided waves in a cylindrical bar is examined firstly. These modeling results are compared to some analytical results. The comparisons clearly illustrate the effectiveness of the guided wave propagation modeling technique and verify the potential of the modeling technique on solving those problems whose analytical solution is not available due to the complexity of the component geometry. The modeling technique is then used to generate the wave samples for two damage conditions of the seven-wire strands and a wavelet based pattern extraction technique is adopted to extract the baseline time-frequency characteristics of the wave.

Citation Download Citation

Ting Jin, Zhi Sun, and Li-Min Sun "Acoustic emission monitoring of stayed cables based on wavelet analysis", Proc. SPIE 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008, 693236 (8 April 2008); https://doi.org/10.1117/12.776438

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