A new method to derive rail roughness from axle-box vibration accounting for track stiffness variations and wheel-to-wheel coupling. (1st June 2023)
- Record Type:
- Journal Article
- Title:
- A new method to derive rail roughness from axle-box vibration accounting for track stiffness variations and wheel-to-wheel coupling. (1st June 2023)
- Main Title:
- A new method to derive rail roughness from axle-box vibration accounting for track stiffness variations and wheel-to-wheel coupling
- Authors:
- Carrigan, Tobias D.
Talbot, James P. - Abstract:
- Highlights: A new method to derive rail roughness spectra, independent of vehicle speed. Model-based transfer function based on stiffness estimates from the P2 resonance. Improved estimates by accounting for multiple wheels on the same rail. Application of a comb filter to remove the effect of wheel roughness. Evaluation via numerical simulation and measurement trials. Abstract: Railways require frequent inspection to maintain acceptable levels of rail roughness. Accelerometers mounted on in-service railway vehicles potentially offer a cost-effective method of near-continuous roughness monitoring by using a transfer function in the frequency domain to derive rail roughness spectra from measurements of axle-box vibration. This paper addresses two phenomena that currently limit the effectiveness of such a method: the variation in track support stiffness along the track, which is the least known property of the vehicle-track system, resulting in a variable transfer function; and the vibration coupling between wheels, which limits the effectiveness of a transfer function based on a single wheel. A new method is presented that estimates the track stiffness by curve-fitting a transfer function to the peak in the axle-box acceleration spectrum associated with the so-called 'P2' resonance of the wheel-rail system. Wheel-to-wheel coupling is addressed by refining the transfer function to account for multiple wheels running on the same rail. Axle-box acceleration is also affected byHighlights: A new method to derive rail roughness spectra, independent of vehicle speed. Model-based transfer function based on stiffness estimates from the P2 resonance. Improved estimates by accounting for multiple wheels on the same rail. Application of a comb filter to remove the effect of wheel roughness. Evaluation via numerical simulation and measurement trials. Abstract: Railways require frequent inspection to maintain acceptable levels of rail roughness. Accelerometers mounted on in-service railway vehicles potentially offer a cost-effective method of near-continuous roughness monitoring by using a transfer function in the frequency domain to derive rail roughness spectra from measurements of axle-box vibration. This paper addresses two phenomena that currently limit the effectiveness of such a method: the variation in track support stiffness along the track, which is the least known property of the vehicle-track system, resulting in a variable transfer function; and the vibration coupling between wheels, which limits the effectiveness of a transfer function based on a single wheel. A new method is presented that estimates the track stiffness by curve-fitting a transfer function to the peak in the axle-box acceleration spectrum associated with the so-called 'P2' resonance of the wheel-rail system. Wheel-to-wheel coupling is addressed by refining the transfer function to account for multiple wheels running on the same rail. Axle-box acceleration is also affected by wheel roughness, and the use of a comb filter is briefly demonstrated to mitigate this effect. The developments are evaluated by both numerical simulation and measurement trials conducted on London Underground's Victoria line. … (more)
- Is Part Of:
- Mechanical systems and signal processing. Volume 192(2023)
- Journal:
- Mechanical systems and signal processing
- Issue:
- Volume 192(2023)
- Issue Display:
- Volume 192, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 192
- Issue:
- 2023
- Issue Sort Value:
- 2023-0192-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-06-01
- Subjects:
- Axle-box acceleration -- Acoustic monitoring -- Railway maintenance -- Rail roughness -- Rail corrugation -- Track stiffness
ABA axle-box acceleration -- PSD power spectral density -- ATMS Automated Track Monitoring System -- CAT Corrugation Analysis Trolley
Structural dynamics -- Periodicals
Vibration -- Periodicals
Constructions -- Dynamique -- Périodiques
Vibration -- Périodiques
Structural dynamics
Vibration
Periodicals
621 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08883270 ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=0888-3270;screen=info;ECOIP ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ymssp.2023.110232 ↗
- Languages:
- English
- ISSNs:
- 0888-3270
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5419.760000
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British Library HMNTS - ELD Digital store - Ingest File:
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