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<p>As the primary load-bearing components of cable-stayed bridges, stay cables require health monitoring to ensure their safe operation. Acoustic emission (AE) technology can detect wire breakages in steel strands within stay cables; however, it is prone to noise interference, which compromises monitoring accuracy. Addressing the insufficient understanding of wind-induced noise characteristics in stay cables, this study investigates their time-domain and frequency-domain properties, examining the influence of wind speed, cable length, the number of stay cables connected in parallel to waveguides, and monitoring location on wind-induced noise signals. The results indicate that wind-induced noise signals exhibit significant variability, notable time-domain fluctuations, and prolonged duration. Moreover, the amplitude, peak frequency, and duration of the noise signals increase with higher wind speeds and greater cable lengths. A strong linear correlation (R² = 0.99) exists between the noise signal amplitude and the number of stay cables connected in parallel to waveguides, with each additional cable increasing the amplitude by approximately 13.3 mV. The hit rate follows an exponential growth relationship (R² = 0.989) with the number of parallel stay cables. Additionally, the amplitude and duration of wind-induced noise signals at the anchorage end are lower than those at the cable end.</p>

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Analysis of Acoustic Emission Signal Characteristics and Influencing Factors of Wind-Induced Vibration Noise of Stay Cables

  • 期刊论文

  • 发表日期：

    2025年6月23日

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  • S. Li,
  • Z. Hui,
  • Y. Xue,
  • H. Wang,
  • L. Wang,
  • L. Xie

摘要

As the primary load-bearing components of cable-stayed bridges, stay cables require health monitoring to ensure their safe operation. Acoustic emission (AE) technology can detect wire breakages in steel strands within stay cables; however, it is prone to noise interference, which compromises monitoring accuracy. Addressing the insufficient understanding of wind-induced noise characteristics in stay cables, this study investigates their time-domain and frequency-domain properties, examining the influence of wind speed, cable length, the number of stay cables connected in parallel to waveguides, and monitoring location on wind-induced noise signals. The results indicate that wind-induced noise signals exhibit significant variability, notable time-domain fluctuations, and prolonged duration. Moreover, the amplitude, peak frequency, and duration of the noise signals increase with higher wind speeds and greater cable lengths. A strong linear correlation (R² = 0.99) exists between the noise signal amplitude and the number of stay cables connected in parallel to waveguides, with each additional cable increasing the amplitude by approximately 13.3 mV. The hit rate follows an exponential growth relationship (R² = 0.989) with the number of parallel stay cables. Additionally, the amplitude and duration of wind-induced noise signals at the anchorage end are lower than those at the cable end.