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

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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%. (C) 2017 Acoustical Society of America.
Publisher
ACOUSTICAL SOC AMER AMER INST PHYSICS
Issue Date
2017-03
Language
English
Article Type
Article
Citation

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, v.141, no.3, pp.1711 - 1714

ISSN
0001-4966
DOI
10.1121/1.4977601
URI
http://hdl.handle.net/10203/223019
Appears in Collection
ME-Journal Papers(저널논문)
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