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Méthodes d'identification et de caractérisation de source de bruit en environnement réverbérant

Abstract : This thesis consists in developing, through the LICORVE project (light garnitures, innovative, recyclable and multi-sensorial for vehicle boots applications), a measurement method for localizing and characterizing noise sources in a vehicle trunk. The measuring environment is distinguished by a small volume where the reflections on the partitions generated by the source of interest and the interfering sources cannot be neglected. Therefore, the method must allow the separation of the different contributions in order to assess accurately the studied sources. As a first step, two separation methods : Double Layer SONAH (Statistically Optimized Near-Field Acoustical Holography) and Field Separation Method (FSM) are numerically studied. The limitations and advantages of each of them are determined in a confined measuring environment; this allowed to select the most appropriate method to tackle our problem. As a second step, the main conclusions of the numerical study are confirmed experimentally. In this context, measurements are performed, using the FSM method, in a trunk mock-up to localize and characterize the controlled sources. So confirmed the reliability of the separation method, it has been tested in the boot of a Peugeot 508 SW on a roller bench. The obtained results allowed guiding the selection of garniture for the acoustic treatment.
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Submitted on : Wednesday, November 14, 2012 - 6:08:23 PM
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Yacine Braïkia. Méthodes d'identification et de caractérisation de source de bruit en environnement réverbérant. Autre. Conservatoire national des arts et metiers - CNAM, 2012. Français. ⟨NNT : 2012CNAM0817⟩. ⟨tel-00752098⟩

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