4.7 Article

A general and stable approach to modeling and coupling multilayered acoustical systems with various types of layers

期刊

JOURNAL OF SOUND AND VIBRATION
卷 567, 期 -, 页码 -

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jsv.2023.117898

关键词

Layered systems; Poro-elastic layers; Sound absorption; Stable method; Transfer matrix method; Sound transmission loss

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This article proposes a general method for modeling layered acoustical systems using two by-two transfer matrices, and solving for their acoustic absorption, reflection, and transmission coefficients. The method ensures the accuracy of wave attenuation terms by decomposing each layer's transfer matrix and reformulating the equation system. The predicted acoustic properties of layered systems calculated using this method have been validated by comparison with previously-existing methods.
In this article, a general method is proposed to model layered acoustical systems with two by-two transfer matrices, and further, to solve for their acoustic absorption, reflection, and transmission coefficients. Since the proposed method uses the matrix representation of various layers and interfaces, as in the Transfer Matrix Method (TMM), the equation system can be established efficiently. However, the traditional TMM can become unstable when there is a large disparity between the magnitudes of the waves traveling in opposite directions within the layers (i.e., at higher frequencies, for a thick layer, or for extreme parameter values). In such cases, the contribution of the most attenuated wave can be masked by numerical errors and can induce instability when solving the system. Therefore, in the proposed method, the accuracy of the wave attenuation terms is ensured by decomposing each layer's transfer matrix and reformulating the equation system. This method can be used to couple different layer types in a general way and is easy to assemble and implement with numerical code. The predicted acoustic properties of layered systems calculated using the proposed method have been validated by comparison with those predicted by previously-existing methods.

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