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Caractérisation de matériaux acoustiques par antennes microphoniques sphériques et hémisphériques

Abstract : Sound absorbing materials such as foams, textiles or carpets are used in many areas to absorb sound. This can be for protection (workers) or comfort (buildings, cars, airplanes, etc.).In order to dimension and choose which material to use according to each situation, predictive calculations are used based on characterizations giving the absorption coefficients and/or surface impedance of the said materials.The characterizations are typically carried out in the laboratory using standardized measurements techniques such as the impedance tube or the reverberation chamber method. However, these have many limitations. The problematic of this PhD project is to find solutions by using a microphone antenna system to determine the properties of acoustic materials in a reliable and robust way while overcoming the limitations of conventional methods. This document is a synthesis of the work carried out in this direction. The problem is addressed through two main approaches, the holographic type approaches where one reconstructs the sound pressure and the normal particle velocity to estimate the surface impedance and the model matching (optimization) approaches where one identifies the surface impedance that minimizes the error between the measurements and the model.These models are presented for different microphone antenna geometries: spherical, hemispherical and planar. They are separated between methods that depend on one geometry and those that can be applied to several geometries.Simulations and experiments are shown to validate the developed models.
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Submitted on : Tuesday, October 27, 2020 - 11:48:09 AM
Last modification on : Wednesday, October 28, 2020 - 3:36:16 AM


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  • HAL Id : tel-02979781, version 1


Samuel Dupont. Caractérisation de matériaux acoustiques par antennes microphoniques sphériques et hémisphériques. Acoustique [physics.class-ph]. Université du Maine; Université de Sherbrooke (Québec, Canada), 2020. Français. ⟨NNT : 2020LEMA1016⟩. ⟨tel-02979781⟩



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