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Investigation of acoustic transmission beneath a railway vehicle by using statistical energy analysis and an equivalent source model

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Investigation of acoustic transmission beneath a railway vehicle by using statistical energy analysis and an equivalent source model

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Li, H.; Thompson, D.; Squicciarini, G.; Liu, X.; Rissmann, M.; Denia, FD.; Giner Navarro, J. (2021). Investigation of acoustic transmission beneath a railway vehicle by using statistical energy analysis and an equivalent source model. Mechanical Systems and Signal Processing. 150:1-19. https://doi.org/10.1016/j.ymssp.2020.107296

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/176305

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Título: Investigation of acoustic transmission beneath a railway vehicle by using statistical energy analysis and an equivalent source model
Autor: Li, Hui Thompson, David Squicciarini, Giacomo Liu, Xiaowan Rissmann, Martin Denia, F. D. Giner Navarro, Juan
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials
Fecha difusión:
Resumen:
[EN] An approach is presented for modelling the noise propagation beneath the train floor and this is applied to rolling noise sources. It is assumed that the sound incident on the train floor is made up of a direct and a ...[+]
Palabras clave: SEA , Equivalent source model , Train noise , Under-floor noise
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Mechanical Systems and Signal Processing. (issn: 0888-3270 )
DOI: 10.1016/j.ymssp.2020.107296
Editorial:
Elsevier
Versión del editor: https://doi.org/10.1016/j.ymssp.2020.107296
Código del Proyecto:
info:eu-repo/grantAgreement/EC/H2020/777564/EU/Innovative RUNning gear soluTiOns for new dependable, sustainable, intelligent and comfortable RAIL vehicles/
Agradecimientos:
This work has been funded by the China Scholarship Council and the RUN2Rail H2020/Shift2Rail project (Grant agreement No: 777564). The contents of this publication only reflect the authors' views and the Shift2Rail Joint ...[+]
Tipo: Artículo

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