Chen, Z., Xiang, N. and Horoshenkov, K.V. orcid.org/0000-0002-6188-0369 (2022) Boundary admittance estimation for wave-based acoustic simulations using Bayesian inference. JASA Express Letters, 2 (8). 081601. ISSN 2691-1191
Abstract
Acoustic surface admittance/impedance at domain boundaries is essential for wave-based acoustic simulations. This work applies two levels of Bayesian inference to estimate the order and the parameter values of the multipole admittance model. The frequency-dependent acoustic admittance is experimentally measured. Incorporating the maximum entropy strategy, the unified Bayesian framework is applied to the multipole approximation. Analysis results demonstrate that multipole model-based Bayesian inference is well suited to estimating the arbitrary frequency-dependent boundary condition within a wave-based simulation framework.
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Copyright, Publisher and Additional Information: | © 2022 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | ||||
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Institution: | The University of Sheffield | ||||
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) | ||||
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Depositing User: | Symplectic Sheffield | ||||
Date Deposited: | 07 Nov 2022 10:22 | ||||
Last Modified: | 07 Nov 2022 10:22 | ||||
Status: | Published | ||||
Publisher: | Acoustical Society of America (ASA) | ||||
Refereed: | Yes | ||||
Identification Number: | https://doi.org/10.1121/10.0012992 | ||||
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