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Comparison of models for predicting curve squeal noise

Comparison of models for predicting curve squeal noise
Comparison of models for predicting curve squeal noise
Curve squeal is a highly unpredictable phenomenon due to its random nature. Efforts are made in both the academic and industrial community to analyse curve squeal and identify measures to reduce it. This paper aims to compare two different modelling approaches used in the QuieterRail project to predict curve squeal. The first approach focuses on efficient predictions in the frequency domain, while the second approach evaluates the full system response through a representation of the wheel/rail interaction in the time domain. Models are run with identical input data, corresponding to a resilient tramway wheel circulating on a slab track in a tight curve. Several output variables are compared to investigate the differences in each calculation step of the models: mobilities, friction law, instabilities, wheel vibrations. Despite the differences in formulations, the results are comparable.
Tufano, Rita
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Rissmann, Martin
085d551d-c0ca-4aa9-ba28-a62eaa725bc2
Li, Qianqian
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Squicciarini, Giacomo
c1bdd1f6-a2e8-435c-a924-3e052d3d191e
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Baeza, Luis
09dc5565-ad4b-49af-a104-d4b6ad28e1b0
Giner-Navarro, Juan
518d937c-6113-4540-b56a-26b977cd4b6e
Tufano, Rita
e9bd5c89-2098-4817-b21c-b66f3170595a
Rissmann, Martin
085d551d-c0ca-4aa9-ba28-a62eaa725bc2
Li, Qianqian
5b5fcfeb-83b5-4ebd-afb7-7bfd7a166b8d
Squicciarini, Giacomo
c1bdd1f6-a2e8-435c-a924-3e052d3d191e
Thompson, David
bca37fd3-d692-4779-b663-5916b01edae5
Baeza, Luis
09dc5565-ad4b-49af-a104-d4b6ad28e1b0
Giner-Navarro, Juan
518d937c-6113-4540-b56a-26b977cd4b6e

Tufano, Rita, Rissmann, Martin, Li, Qianqian, Squicciarini, Giacomo, Thompson, David, Baeza, Luis and Giner-Navarro, Juan (2025) Comparison of models for predicting curve squeal noise. 15th International Workshop on Railway Noise, , Isla de la Toja, Spain. 15 - 19 Sep 2025. 8 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

Curve squeal is a highly unpredictable phenomenon due to its random nature. Efforts are made in both the academic and industrial community to analyse curve squeal and identify measures to reduce it. This paper aims to compare two different modelling approaches used in the QuieterRail project to predict curve squeal. The first approach focuses on efficient predictions in the frequency domain, while the second approach evaluates the full system response through a representation of the wheel/rail interaction in the time domain. Models are run with identical input data, corresponding to a resilient tramway wheel circulating on a slab track in a tight curve. Several output variables are compared to investigate the differences in each calculation step of the models: mobilities, friction law, instabilities, wheel vibrations. Despite the differences in formulations, the results are comparable.

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Published date: 19 September 2025
Venue - Dates: 15th International Workshop on Railway Noise, , Isla de la Toja, Spain, 2025-09-15 - 2025-09-19

Identifiers

Local EPrints ID: 506966
URI: http://eprints.soton.ac.uk/id/eprint/506966
PURE UUID: 73f9aa98-51d1-4c04-8b33-7320c62220d5
ORCID for Qianqian Li: ORCID iD orcid.org/0000-0003-4321-7042
ORCID for Giacomo Squicciarini: ORCID iD orcid.org/0000-0003-2437-6398
ORCID for David Thompson: ORCID iD orcid.org/0000-0002-7964-5906
ORCID for Luis Baeza: ORCID iD orcid.org/0000-0002-3815-8706

Catalogue record

Date deposited: 24 Nov 2025 17:44
Last modified: 25 Nov 2025 03:19

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Contributors

Author: Rita Tufano
Author: Martin Rissmann
Author: Qianqian Li ORCID iD
Author: David Thompson ORCID iD
Author: Luis Baeza ORCID iD
Author: Juan Giner-Navarro

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