Experimental and numerical investigation of tramcar curve squeal under varying wheel-rail contact conditions
Experimental and numerical investigation of tramcar curve squeal under varying wheel-rail contact conditions
The variability of curve squeal generated by a modern articulated tramcar is investigated through noise and vibration measurements at two sites and numerical simulations. Accelerometers on the leading wheels of the second car show that different vibration modes intermittently dominate the wheel vibration during curving, with squeal also detected on the outer wheel. To study low-adhesion conditions, the track is artificially wetted. A reduction of nearly 15 dBA in Single Event Levels is obtained after water application, but the effect disappeared after a few passes. A numerical procedure supports the experiments, combining vehicle dynamics simulations with a frequency-domain wheel-rail interaction model. Predicted squeal frequencies agree with those measured. Variability in contact parameters is considered by simulating numerous variants per scenario. Squeal occurs in over 90% of cases on the front inner and rear outer wheels, and in fewer than 3% on the outer front wheel. Simulations with varying friction coefficients are aligned with experimental findings in dry and wet conditions, suggesting that water-based friction modifiers can significantly reduce squeal. A parametric study on curve radius confirms the leading inner wheel as most critical, while also showing multiple squealing wheels, including those under flange contact.
Curve squeal, Frequency-domain simulations, Noise measurements, Stability analysis, Tramways, Vehicle dynamics, Wheel-rail contact
Castellini, Federico
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Faccini, Leonardo
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Alfi, Stefano
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Gialleonardo, Egidio Di
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Corradi, Roberto
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Squicciarini, Giacomo
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Thompson, David
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29 November 2025
Castellini, Federico
9c14e7ff-0289-4a18-853c-decf4e5db422
Faccini, Leonardo
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Alfi, Stefano
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Gialleonardo, Egidio Di
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Corradi, Roberto
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Squicciarini, Giacomo
c1bdd1f6-a2e8-435c-a924-3e052d3d191e
Thompson, David
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Castellini, Federico, Faccini, Leonardo, Alfi, Stefano, Gialleonardo, Egidio Di, Corradi, Roberto, Squicciarini, Giacomo and Thompson, David
(2025)
Experimental and numerical investigation of tramcar curve squeal under varying wheel-rail contact conditions.
Computers and Structures, 321, [108040].
(doi:10.1016/j.compstruc.2025.108040).
Abstract
The variability of curve squeal generated by a modern articulated tramcar is investigated through noise and vibration measurements at two sites and numerical simulations. Accelerometers on the leading wheels of the second car show that different vibration modes intermittently dominate the wheel vibration during curving, with squeal also detected on the outer wheel. To study low-adhesion conditions, the track is artificially wetted. A reduction of nearly 15 dBA in Single Event Levels is obtained after water application, but the effect disappeared after a few passes. A numerical procedure supports the experiments, combining vehicle dynamics simulations with a frequency-domain wheel-rail interaction model. Predicted squeal frequencies agree with those measured. Variability in contact parameters is considered by simulating numerous variants per scenario. Squeal occurs in over 90% of cases on the front inner and rear outer wheels, and in fewer than 3% on the outer front wheel. Simulations with varying friction coefficients are aligned with experimental findings in dry and wet conditions, suggesting that water-based friction modifiers can significantly reduce squeal. A parametric study on curve radius confirms the leading inner wheel as most critical, while also showing multiple squealing wheels, including those under flange contact.
Text
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More information
Accepted/In Press date: 9 November 2025
e-pub ahead of print date: 29 November 2025
Published date: 29 November 2025
Keywords:
Curve squeal, Frequency-domain simulations, Noise measurements, Stability analysis, Tramways, Vehicle dynamics, Wheel-rail contact
Identifiers
Local EPrints ID: 509103
URI: http://eprints.soton.ac.uk/id/eprint/509103
ISSN: 0045-7949
PURE UUID: c478e28b-b937-4e41-8d18-fbb3943410f2
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Date deposited: 11 Feb 2026 17:44
Last modified: 12 Feb 2026 02:49
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Contributors
Author:
Federico Castellini
Author:
Leonardo Faccini
Author:
Stefano Alfi
Author:
Egidio Di Gialleonardo
Author:
Roberto Corradi
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