Aeroacoustic noise prediction in high speed trains due to attached and detached flow

Sorribes Palmer, Felix ORCID: https://orcid.org/0000-0003-3442-0487, Alonso Rodrigo, Gustavo ORCID: https://orcid.org/0000-0002-1220-5586 and Ghaemi Nasab, Mohsen (2013). Aeroacoustic noise prediction in high speed trains due to attached and detached flow. In: "International Workshop on Numerical Prediction of Detached Flows", 23-25 Oct 2013, Madrid.

Description

Title: Aeroacoustic noise prediction in high speed trains due to attached and detached flow
Author/s:
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Workshop on Numerical Prediction of Detached Flows
Event Dates: 23-25 Oct 2013
Event Location: Madrid
Title of Book: International Workshop on Numerical Prediction of Detached Flow
Date: 2013
Subjects:
Faculty: E.T.S.I. Aeronáuticos (UPM)
Department: Aeronaves y Vehículos Espaciales
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This paper aims to set out the influence of the flow field around high speed trains in open field. To achieve this parametric analysis of the sound pressure inside the train was performed. Three vibroacoustic models of a characteristic train section are used to predict the noise inside the train in open field by using finite element method FEM, boundary element method (BEM) and statistical energy analysis (SEA) depending on the frequency range of analysis. The turbulent boundary layer excitation is implemented as the only airborne noise source, in order to focus on the study of the attached and detached flow in the surface of the train. The power spectral densities of the pressure fluctuation in the train surface proposed by [Cockburn and Roberson 1974, Rennison et al. 2009] are applied on the exterior surface of the structural subsystems in the vibroacoustic models. An increase in the sound pressure level up to10 dB can be appreciated due to the detachment of the flow around the train. These results highlight the importance to determine the detached regions prediction, making critical the airborne noise due to turbulent boundary layer.

More information

Item ID: 36295
DC Identifier: https://oa.upm.es/36295/
OAI Identifier: oai:oa.upm.es:36295
Deposited by: Memoria Investigacion
Deposited on: 16 Feb 2016 09:21
Last Modified: 06 Feb 2023 08:51
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