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Diffuseness quantification of a reverberation chamber and its uncertainty with fine-resolution measurements

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Diffuseness quantification of a reverberation chamber and its uncertainty with fine-resolution measurements

Zhang, Shuying (2021) Diffuseness quantification of a reverberation chamber and its uncertainty with fine-resolution measurements. Masters thesis, Concordia University.

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Abstract

Insufficient diffuseness is the major cause of poor inter-laboratory reproducibility of acoustic measurements conducted in a reverberation chamber. Many previous studies have proposed new methods to quantify the diffuseness of a reverberation chamber more accurately, but there is no general agreement among researchers on the most reliable method. The number of measurement samples required for these diffuseness metrics is also unclear, even though it significantly impacts the robustness of the methods. This study, therefore, aims to quantify the diffuseness of a reverberation chamber by using the three widely used diffuseness metrics of spatial variation of sound pressure levels, the relative standard deviation of decay rates, and the degree of time-series fluctuations. The measurements were also carried out with fine resolution microphone positions and varied configurations of acoustic diffusers. With the measurement data, the minimum number of measurement samples to obtain an accurate diffuseness quantification was determined. It is shown that nine independent microphone positions are sufficient to provide the acceptable confidence interval for frequencies above 315 Hz for all three metrics. However, twenty or more microphone positions are needed for the same accuracy if lower frequencies are considered for the reverberation chamber under investigation.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering
Item Type:Thesis (Masters)
Authors:Zhang, Shuying
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Building Engineering
Date:21 July 2021
Thesis Supervisor(s):Lee, Joonhee
ID Code:989957
Deposited By: Shuying Zhang
Deposited On:27 Oct 2022 13:52
Last Modified:27 Oct 2022 13:52

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