This paper discusses experimental validations of multilayer microslit panels (MSPs) designed via Bayesian inference to obtain both high sound absorption and wide bandwidth simultaneously. Microslit perforation in thin panels is similar to microperforated panels [Xiang, Fackler, Hou, and Schmitt (2022). J. Acoust. Soc. Am. 151(5), 3094–3103]. MSP absorbers in single-layer configurations are functioning in a limited frequency range. By stacking the MSPs in multiple layered structures, absorbing performance may be widened in frequency ranges while retaining high absorption coefficients. Besides design challenges of multiple MSPs in layered structures to fulfill a practical requirement and minimize fabrication complexity, this paper further discusses challenges in experimental validations when experimental results undesirably deviate from the initial Bayesian design. Causation analysis is applied to the validation efforts where a causal model-based inference effectively provides causal reasoning of fabrication inaccuracies. Along with the causal inference, a causal reasoning conducted in this work can guide corrections due to fabrication inaccuracies during the iterative validation process.
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September 2023
September 07 2023
Validation of Bayesian design for broadband microslit panel absorbers using causal inference
Ning Xiang;
Ning Xiang
a)
1
Graduate Program in Architectural Acoustics, Rensselaer Polytechnic Institute
, Troy, New York 12180, USA
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Michael Hoeft;
Michael Hoeft
1
Graduate Program in Architectural Acoustics, Rensselaer Polytechnic Institute
, Troy, New York 12180, USA
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Cameron J. Fackler;
Cameron J. Fackler
1
Graduate Program in Architectural Acoustics, Rensselaer Polytechnic Institute
, Troy, New York 12180, USA
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Ziqi Chen;
Ziqi Chen
1
Graduate Program in Architectural Acoustics, Rensselaer Polytechnic Institute
, Troy, New York 12180, USA
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Paul Barach
Paul Barach
2
College of Population Health, Thomas Jefferson University
, Philadelphia, Pennsylvania 19107, USA
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a)
Email: xiangn@rpi.edu
J. Acoust. Soc. Am. 154, 1471–1481 (2023)
Article history
Received:
January 09 2023
Accepted:
August 20 2023
Citation
Ning Xiang, Michael Hoeft, Cameron J. Fackler, Ziqi Chen, Paul Barach; Validation of Bayesian design for broadband microslit panel absorbers using causal inference. J. Acoust. Soc. Am. 1 September 2023; 154 (3): 1471–1481. https://doi.org/10.1121/10.0020846
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