Bayesian inference of the flow resistivity of a sound absorber and the room's influence on the Sabine absorption coefficients

Cheol-Ho Jeong, Sang-Hyeon Choi, Ikjin Lee

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Abstract

A Bayesian analysis is applied to determine the flow resistivity of a porous sample and the influence of the test chamber based on measured Sabine absorption coefficient data. The Sabine absorption coefficient measured in a reverberation chamber according to ISO 354 is influenced by the test chamber significantly, whereas the flow resistivity is a rather reproducible material property, from which the absorptive characteristics can be calculated through reliable models. Using Sabine absorption coefficients measured in 13 European reverberation chambers, the maximum a posteriori and the uncertainty of the flow resistivity and the test chamber’s influence are estimated. Inclusion of more than one chamber’s absorption data helps the flow resistivity converge towards a reliable value with a standard deviation below 17%
Original languageEnglish
JournalJournal of the Acoustical Society of America
Volume141
Issue number3
Pages (from-to)1711–1714
ISSN0001-4966
DOIs
Publication statusPublished - 2017

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