Rail Track Modelling by Using Identification and Curve Fitting Techniques

TÜRKAY S., Leblebici A. S., AKÇAY H.

29th Irish Signals and Systems Conference (ISSC), Belfast, England, 21 - 22 June 2018 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/issc.2018.8585288
  • City: Belfast
  • Country: England
  • Keywords: Curve fitting, subspace-based identification, Welch'e estimate, railway vehicle, VIBRATION
  • Anadolu University Affiliated: Yes


In this paper, a seventeen-degree-of-freedom full-car model of a high speed railway vehicle excited by real track profile is going to be studied. The field measurements are collected by Turkish State Railways (TCDD) on a pre-specified pilot section at a constant forward train speed. First, empirical auto-power spectral densities of the left and the right tracks are estimated on the uniform frequency range by using the Welch-method. The estimated power spectra is matched by generally preferred mathematical track spectrum in the Federal Railroad Administration Standard (FRA). Then, curve fitting techniques in the frequency domain as the two-slope and three-slope approximations are performed on the Welch estimated track spectra. Next, subspace-based identification algorithms are applied to shape to the Welch's rail spectrum for the right and left tracks. Based on all these parametric and non-parametric studies, the simulation studies showed that the effect of the rail track modelling on the performance enhancement of the vehicle is quite large.