IDEAS home Printed from https://ideas.repec.org/a/taf/tjrtxx/v13y2025i4p659-681.html
   My bibliography  Save this article

A model-based approach for joint estimation of track irregularities and track support modulus from trackside measurements in railway turnouts

Author

Listed:
  • Seyed Mohammad Asadzadeh
  • Pegah Barkhordari
  • Roberto Galeazzi

Abstract

The paper proposes a model-based approach for the concomitant estimation of track modulus, track irregularity, and dynamic loading by combining an analytical model of a beam on an elastic foundation with vibration data collected by a trackside measurement system. The model is empirically extended to incorporate the effects of dynamic wheel/rail interaction forces when both short wavelength defects (in the rail surface) and medium-long wavelength track irregularities (e.g. hanging sleepers, differential ballast settlement) are present. The power spectral density of the rail vertical acceleration is then exploited in combination with the extended model to estimate track parameters using least squares. The proposed method is validated on vibration data collected in a turnout of the Danish railway infrastructure over a period of 2.5 years. The obtained results show that changes over time in track modulus and track irregularities, and consequently in dynamic wheel/rail contact forces, can be efficiently monitored from trackside measurements.

Suggested Citation

  • Seyed Mohammad Asadzadeh & Pegah Barkhordari & Roberto Galeazzi, 2025. "A model-based approach for joint estimation of track irregularities and track support modulus from trackside measurements in railway turnouts," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 13(4), pages 659-681, July.
    • Handle: RePEc:taf:tjrtxx:v:13:y:2025:i:4:p:659-681
    DOI: 10.1080/23248378.2024.2394195
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23248378.2024.2394195
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/23248378.2024.2394195?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tjrtxx:v:13:y:2025:i:4:p:659-681. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjrt20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.