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Simplified prediction models for acoustic installation effects of train-mounted equipment

Authors :
David Thompson
Dong Zhao
Giacomo Squicciarini
Source :
Railway Engineering Science, Vol 32, Iss 2, Pp 125-143 (2024)
Publication Year :
2024
Publisher :
SpringerOpen, 2024.

Abstract

Abstract Acoustic models of railway vehicles in standstill and pass-by conditions can be used as part of a virtual certification process for new trains. For each piece of auxiliary equipment, the sound power measured on a test bench is combined with measured or predicted transfer functions. It is important, however, to allow for installation effects due to shielding by fairings or the train body. In the current work, fast-running analytical models are developed to determine these installation effects. The model for roof-mounted sources takes account of diffraction at the corner of the train body or fairing, using a barrier model. For equipment mounted under the train, the acoustic propagation from the sides of the source is based on free-field Green’s functions. The bottom surfaces are assumed to radiate initially into a cavity under the train, which is modelled with a simple diffuse field approach. The sound emitted from the gaps at the side of the cavity is then assumed to propagate to the receivers according to free-field Green’s functions. Results show good agreement with a 2.5D boundary element model and with measurements. Modelling uncertainty and parametric uncertainty are evaluated. The largest variability occurs due to the height and impedance of the ground, especially for a low receiver. This leads to standard deviations of up to 4 dB at low frequencies. For the roof-mounted sources, uncertainty over the location of the corner used in the equivalent barrier model can also lead to large standard deviations.

Details

Language :
English
ISSN :
26624745 and 26624753
Volume :
32
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Railway Engineering Science
Publication Type :
Academic Journal
Accession number :
edsdoj.9b49d2e8740b4e309e81482de4e442b3
Document Type :
article
Full Text :
https://doi.org/10.1007/s40534-024-00333-9