4.7 Article

Absorption performance of nonplanar periodic structures solved by layered rigorous coupled-wave analysis

期刊

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2021.108702

关键词

Sound absorption performance; Porous material; Nonplanar periodic structure; Layered rigorous coupled-wave analysis; Wide frequency range

资金

  1. Key-Area Research and Development Program of Guangdong Province [2020B010190002]
  2. National Natural Science Foundation of China [11874383, 12104480]

向作者/读者索取更多资源

This study proposes a semi-analytic method to predict the sound absorption of nonplanar periodic materials. By dividing the corrugated surfaces into layers and establishing acoustic coupling equations, the method can effectively predict the absorption coefficients of the whole structure. It has been validated to be effective and practical through comparisons with experimental data and finite element simulations.
Porous materials with corrugated surfaces are widely used in the field of noise control, as they can effectively convert sound energy into heat resulting in sound absorption. It is important to predict the absorption coefficients of sound-absorbing devices for the design of appropriate shape and size. In this study, a semi-analytic method of layered rigorous coupled-wave analysis (LRCWA) is proposed to predict the absorption of nonplanar periodic materials. Starting from the division of corrugated surfaces into multiple layers, we process the sound behavior in each layer as in a rectangular periodic modulation structure. By connecting the interlayer boundary continuity conditions, the acoustic coupling equation of the whole structure can be established. The effectiveness and practicability of the LRCWA method is validated based on the comparisons with the experimental data and the simulation of finite element method. Besides the absorption coefficient that is mainly discussed in this work, the proposed method is universal in analyzing the physical properties of nonplanar periodic structures, which can greatly accelerate the delicate design and optimization of such structures.

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