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Rail Roughness Acceptance Criterion Based on Metro Interior Noise

Xiaolong Liu et al · KeAi Communications Co., Ltd · 2022

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Abstract Severe rail roughness leads to a series of problems in metro systems, particularly the vehicle noise problem. To ensure a better acoustic environment, rail roughness control is therefore one of the main concerns for the metro operators. But the existing roughness acceptance criteria are not suitable for metro interior noise control. It is an appropriate method to determine the rail roughness limit based on interior noise. A rail roughness acceptance criterion based on metro interior noise is accordingly proposed in this paper. The relationship between rail roughness and interior noise can be derived with wheel-rail noise as link. With this objective, a combined test and simulation method is adopted. A validated wheel-rfigil noise prediction model is thus established to determine the relationship between rail roughness and wheel-rail noise. Moreover, the transfer function of wheel-rail noise to interior noise is developed based on extensive field test. Using this method, the noise sensitivity to roughness wavelength and acceptance criteria at different speeds and track structures are investigated. Finally, an eclectic rail corrugation acceptance criterion on curved track is suggested in consideration of practical application.

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APA 7

al, X. L. E. (2022). Rail Roughness Acceptance Criterion Based on Metro Interior Noise. https://doi.org/10.1186/s10033-022-00696-2

MLA

al, Xiaolong Liu et. "Rail Roughness Acceptance Criterion Based on Metro Interior Noise." 2022. https://doi.org/10.1186/s10033-022-00696-2.

Chicago

al, Xiaolong Liu et. 2022. "Rail Roughness Acceptance Criterion Based on Metro Interior Noise.". https://doi.org/10.1186/s10033-022-00696-2.

Harvard

al, X. L. E. 2022, Rail Roughness Acceptance Criterion Based on Metro Interior Noise, KeAi Communications Co, Ltd, available at: https://doi.org/10.1186/s10033-022-00696-2 [Accessed 7 Aug. 2026].

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Title
Rail Roughness Acceptance Criterion Based on Metro Interior Noise
Author / contributors
Xiaolong Liu et al
Publisher
KeAi Communications Co., Ltd
Publication year
2022
ISSN
1000-9345
ISSN
1000-9345
Language
English

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