Li, Hui; Thompson, David; Squicciarini, Giacomo; Liu, Xiaowan; Rissmann, Martin; Bouvet, Pascal; Denia, F. D.; Baeza González, Luis Miguel; Martin Jarillo, Julian; Moreno Garcia-Loygorri, Juan(Elsevier, 2021-08)
[EN] A framework is described for predicting the airborne noise inside railway vehicles which is applied to rolling noise sources. Statistical energy analysis (SEA) is used to predict the interior noise by subdividing the ...
[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 ...
[EN] The noise inside railway vehicles is transmitted by both structure-borne and airborne paths and, although there are many sources, the rolling noise is often the most important. This paper focuses on the structure-borne ...
[EN] In order to be able to predict train interior noise, it is first important to calculate the external sound pressure distribution on the floor, sidewalls and roof. This can then be combined with the transmission loss ...