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Communication Dans Un Congrès Année : 2020

Development of an Improved Prediction Model for Indoor Rolling Noise

Fabien Chevillotte
  • Fonction : Auteur
François-Xavier Bécot
Luc Jaouen
Nicolas Totaro

Résumé

To acousticians, the phrase ?structure-borne noise in multi-story buildings? typically raises thoughts of one main device: the tapping machine. After all, impact noise continues to be a large nuisance in multi-story buildings to this day, and thus it is only logical that it should receive a large amount of attention. However, other sources of indoor structure-borne noise exist as well. Though they may be less ubiquitous, they still deserve attention in a world where we are ever striving to improve the soundscape around us. One such source is rolling noise, such as that which is generated by a trolley rolling across a floor. While work has been done to investigate impact noise in indoor multi-story buildings, as well as rolling noise in trains and automotive vehicles, little research has been done to bring the rolling noise models indoors. This work presents an improved prediction model for indoor rolling noise, taking into account all influencing factors, such as the roughness of the wheel and the floor, the material and geometric properties of the wheel and the floor, the rolling velocity of the trolley, and the load on the trolley. The model may be used as a tool to investigate how different flooring systems (including multi-layer systems) respond to rolling excitation, for the purpose of developing multi-story building solutions which are better equipped to combat this kind of noise source.

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Dates et versions

hal-03231813 , version 1 (21-05-2021)

Identifiants

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Matthew Edwards, Fabien Chevillotte, François-Xavier Bécot, Luc Jaouen, Nicolas Totaro. Development of an Improved Prediction Model for Indoor Rolling Noise. Forum Acusticum, Dec 2020, Lyon, France. pp.3271-3278, ⟨10.48465/fa.2020.0434⟩. ⟨hal-03231813⟩
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