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Separation of track contribution to pass-by noise by near-field array techniques
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Marcus Wallenberg Laboratory MWL.ORCID iD: 0000-0001-5723-9571
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Marcus Wallenberg Laboratory MWL.ORCID iD: 0000-0003-2498-2558
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering, Marcus Wallenberg Laboratory MWL. Eindhoven University of Technology, Department of Mechanical Engineering, The Netherlands.ORCID iD: 0000-0002-3609-3005
University of Southampton, ISVR.ORCID iD: 0000-0003-2437-6398
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2016 (English)In: Proceedings of the 22nd International Congress on Acoustics, 2016Conference paper (Other academic)
Abstract [en]

A technique to separate the track noise contribution is proposed based on identifying and extracting the track signature from the pass-by noise information measured with a microphone array relatively close to the track. Separation of the contributions of the vehicle and the track in the pass-by noise spectra is a challenging task, which is currently addressed by a combination of direct and indirect measurements and model predictions. Due to the uncertainties in the separation of the track contribution, whether a vehicle will comply with regulations during certification tests is still very much track dependent. Therefore, accurate means to identify the track contribution to the pass-by noise are needed. In this paper we propose to make use of the fact that in a wide frequency range the track is a distributed source that radiates plane waves at a given angle with respect to the track. By measuring the sound field close to the track with a microphone array, the wavenumber spectrum of the radiated sound can be determined. For the track contribution this wavenumber spectrum is tonal and therefore sparse. We make use of this property to design filters that extract the track contribution to the total pass-by noise. This is illustrated with simulations and experiments. 

Place, publisher, year, edition, pages
Keyword [en]
railway, track, noise, NAH, separation
National Category
Vehicle Engineering Fluid Mechanics and Acoustics
Research subject
Vehicle and Maritime Engineering
URN: urn:nbn:se:kth:diva-192208OAI: diva2:963038
International Congress on Acoustics, Buenos Aires, 5-9 September, 2016
EU, Horizon 2020, 636032

QC 20160913

Available from: 2016-09-07 Created: 2016-09-07 Last updated: 2016-09-13Bibliographically approved

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Zea, EliasManzari, LucaLopez Arteaga, InesSquicciarini, Giacomo
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