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Industrial Engineering Framework for Railway Interior Noise Predictions

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Noise and Vibration Mitigation for Rail Transportation Systems

Abstract

Within the European rail initiative Shift2Rail, funded by the European Union, the FINE1 project aims to improve state-of-the-art noise modelling and control for railway systems. To meet the increasing demands for acoustic comfort inside the rail vehicle while fulfilling more stringent targets, a framework for interior noise predictions is required which goes beyond the need for accuracy, the mere acceptance of calculation results or the intuitive noise control by design. In collaboration with other European railway vehicle manufacturers, a generic framework for interior noise predictions in an industrial context is elaborated to find a common basis for the definition and validation of the inherent acoustic processes. Air-borne, as well as structure-borne topics, are investigated including the relevant source and transmission characterizations, the necessary quantification and noise control activities. This paper presents an overview of the generic framework and includes selected examples for the airborne and structure-borne noise paths. These topics include the pressure field around a carbody of high speed and regional rail vehicle, the transmission loss of sub-assemblies, the interior sound distribution along an aisle and the structure-borne sound transmission and radiation of a roof-mounted HVAC system.

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Acknowledgement

The authors express their acknowledgement to the Shift2Rail Joint Undertaking for financing the projects FINE1 (GA 730818) related to the work presented here. This contribution reflects the views of the authors.

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Correspondence to Torsten Kohrs .

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Kohrs, T., Kirchner, KR., Brick, H., Fast, D., Guiral, A. (2021). Industrial Engineering Framework for Railway Interior Noise Predictions. In: Degrande, G., et al. Noise and Vibration Mitigation for Rail Transportation Systems. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 150. Springer, Cham. https://doi.org/10.1007/978-3-030-70289-2_15

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  • DOI: https://doi.org/10.1007/978-3-030-70289-2_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70288-5

  • Online ISBN: 978-3-030-70289-2

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