<p>Micro-surfacing pavements often exhibit elevated interior noise levels, posing challenges for environmental comfort. This study aimed to explore the surface texture wavelength characteristics of such pavements and their relationship with interior noise. A three-dimensional texture laser scanning system was used to determine the slope spectral density (SSD) of surface texture wavelengths, while environmental vibration analyzers measured interior noise and frequency spectra. Compared to SMA-13 pavements, micro-surfacing pavements exhibited higher noise levels in the low-mid frequency range (50–800&#xa0;Hz) and high-frequency range (5000–16000&#xa0;Hz). The SSD distributions of surface texture wavelengths were found to conform to Gaussmod functions with determination coefficients (R²) above 0.99. Strong linear correlations were observed between interior noise and SSD parameters, including peak value, peak area, and wavelength band area ratio. Particularly, node wavelengths between 10 and 20&#xa0;mm showed determination coefficients (R²) exceeding 0.96 with interior noise, suggesting that reducing the area ratio of these wavelengths can significantly lower noise in the low-mid frequency range. Based on these findings, we propose a design threshold for low-noise micro-surfacing pavements: the area ratio for 10&#xa0;mm node wavelengths should not exceed 50%. This recommendation provides a practical framework for future pavement designs aiming to minimize noise levels.</p>

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Study of surface texture wavelength slope spectra density distribution of micro-surfacing pavement related to vehicle interior noise

  • Jiangtao Lin,
  • Hao Liang,
  • Hao Wang,
  • Zhenxiang Zhu,
  • Liang Fan,
  • Tao Liu,
  • Peihan Yu

摘要

Micro-surfacing pavements often exhibit elevated interior noise levels, posing challenges for environmental comfort. This study aimed to explore the surface texture wavelength characteristics of such pavements and their relationship with interior noise. A three-dimensional texture laser scanning system was used to determine the slope spectral density (SSD) of surface texture wavelengths, while environmental vibration analyzers measured interior noise and frequency spectra. Compared to SMA-13 pavements, micro-surfacing pavements exhibited higher noise levels in the low-mid frequency range (50–800 Hz) and high-frequency range (5000–16000 Hz). The SSD distributions of surface texture wavelengths were found to conform to Gaussmod functions with determination coefficients (R²) above 0.99. Strong linear correlations were observed between interior noise and SSD parameters, including peak value, peak area, and wavelength band area ratio. Particularly, node wavelengths between 10 and 20 mm showed determination coefficients (R²) exceeding 0.96 with interior noise, suggesting that reducing the area ratio of these wavelengths can significantly lower noise in the low-mid frequency range. Based on these findings, we propose a design threshold for low-noise micro-surfacing pavements: the area ratio for 10 mm node wavelengths should not exceed 50%. This recommendation provides a practical framework for future pavement designs aiming to minimize noise levels.