2021
DOI: 10.1016/j.ymssp.2020.107296
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Investigation of acoustic transmission beneath a railway vehicle by using statistical energy analysis and an equivalent source model

Abstract: 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 reverberant component. A combination of two numerical modelling approaches is considered to deal with these: an equivalent source model, to represent the direct component, and statistical energy analysis (SEA) for the reverberant part. In the equivalent source model, the wheel is replaced by monop… Show more

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Cited by 5 publications
(7 citation statements)
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“…The input power is calculated by multiplying the sound power incident on the train floor and sidewalls by their corresponding transmission coefficients. These incident sound powers are calculated using different methods [30,31]. They are summarised in Section 3.1 and Section 3.2.…”
Section: Power Input To the Sea Modelmentioning
confidence: 99%
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“…The input power is calculated by multiplying the sound power incident on the train floor and sidewalls by their corresponding transmission coefficients. These incident sound powers are calculated using different methods [30,31]. They are summarised in Section 3.1 and Section 3.2.…”
Section: Power Input To the Sea Modelmentioning
confidence: 99%
“…In this environment the total sound power incident on the train floor (đť‘Š f ) can be expressed as the sum of a direct (đť‘Š dir ) and a reverberant (đť‘Š rev ) component [32] đť‘Š f = đť‘Š dir + đť‘Š rev (5) The direct sound can be calculated by modelling the wheel, the rail and the sleepers as equivalent point sources [30,33]. For the wheels, a point source Sq is located at the geometrical centre of the wheel [30]. The radial and axial radiation of the wheel are modelled by a monopole and a lateral dipole respectively according to their directivity [3].…”
Section: Sound Power Incident On Vehicle Floormentioning
confidence: 99%
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