1. College of Science and Engineering, Jinan University, Guangzhou 510632, China;
2. School of Civil Engineering, Qinghai University, Xining 810016, China
In multi-crack detection of ultrasonic guided wave, defects are not easy to recognize because the amplitudes of defect echoes are small and the waveforms are complex. Here, an approach for detection of steel pipes was proposed based on phase trajectories of a Duffing chaotic system. Firstly, the principle of using a chaotic system’s phase trajectories to recognize ultrasonic guided wave signals was introduced, the parameters of the chaotic system were determined based on phase trajectories recognition combined with ultrasonic guided wave detection. Then, guided waves propagating in pipes were simulated via ANSYS, and the white Gaussian noises were added into the simulated signals to simulate the environmental noise. The test signals were obtained from a six-meter long steel pipe with different sizes of two-crack in it. The simulated and test guided wave signals were detected, respectively with the chosen Duffing chaotic system, they were compared. Finally, the defects’ position was determined with the dichotomy method. The detected phase trajectories results showed that the proposed approach can be applied to effectively recognize defects of two-crack in pipes, and it improves the sensitivity of ultrasonic guided wave detection.
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