• ISSN 0258-2724
  • CN 51-1277/U
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WEI Kai, WANG Sen, MA Meng, DU Siyu. Research on Long-Wave Irregularity of Metro Rail and Wheel-Rail Short-Wave Roughness Spectra[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20250026
Citation: WEI Kai, WANG Sen, MA Meng, DU Siyu. Research on Long-Wave Irregularity of Metro Rail and Wheel-Rail Short-Wave Roughness Spectra[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20250026

Research on Long-Wave Irregularity of Metro Rail and Wheel-Rail Short-Wave Roughness Spectra

doi: 10.3969/j.issn.0258-2724.20250026
  • Received Date: 25 Jan 2025
  • Rev Recd Date: 28 Apr 2025
  • Available Online: 09 Feb 2026
  • To establish a wheel-rail broadband excitation model for numerical simulation and prediction of metro vibration noise, a study was conducted on the selection for long-wave irregularity of metro rail and wheel-rail short-wave roughness spectra based on measured data of long-wave irregularity of metro rail and rail surface roughness from Beijing metro lines, as well as wheel tread out-of-roundness (OOR) from Qingdao metro lines. Firstly, the Welch method was applied to the measured data of rail irregularity to estimate the power spectral density, and the expressions for the short-wave irregularity power spectrum of rail and the OOR power spectrum of wheel, as well as their fitting parameters were provided. In terms of long wavelength, typical rail spectra were selected according to the principle of similarity in individual high and low TQI values corresponding to speed classes. Regarding short wavelength, the short-wave irregularity power spectrum of the rail surface and the OOR power spectrum of the wheel were respectively divided into five grades based on quartiles, and a wheel-rail roughness spectrum was proposed by considering their coherence. The results show that the selected American sixth grade spectrum aligns well with the long-wave (1–42 m) irregularity power spectrum of metro lines with 80 km/h designed by Beijing, according to the principle of similarity in individual high and low TQI values. Both the short-wave irregularity power spectrum of the rail surface and the wheel OOR power spectrum exhibit a significantly skewed amplitude distribution under the same short wavelength. The wheel-rail roughness spectra of different levels in the short-wave range of 0.01–1 m are mainly dominated by the wheel OOR spectrum, and in severe cases, it even exceeds the short-wave spectrum recommended by the China Academy of Railway Sciences.

     

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