A statistical method for predicting sound absorbing property of porous metal materials by using quartet structure generation set
发布时间：2025-04-30
点击次数：
- 发布时间：
- 2025-04-30
- 论文名称：
- A statistical method for predicting sound absorbing property of porous metal materials by using quartet structure generation set
- 发表刊物：
- Journal of Alloys and Compounds
- 摘要：
- In this paper, a statistical method for predicting sound absorption properties of porous metal materials is
presented. To reflect the stochastic distribution characteristics of the porous metal materials, a random
internal morphology and structure generation-growth method, termed as the quartet structure generation
set (QSGS), has been utilized based on the stochastic cluster growth theory for numerical generating the
various microstructures of porous metal materials. Then by using the transfer-function approach along
with the QSGS tool, we investigate the sound absorbing performance of porous metal materials with complex
stochastic geometries. The statistical method has been validated by the good agreement among the
numerical results for metal rubber from this method and a previous empirical model and the corresponding
experimental data. Furthermore, the effects of different parameters such as thickness and porosity on
sound absorption performance of the generated structures are studied by the present method, and the
obtained results are validated by an empirical model as well. Therefore, the present method is a reliable
and robust method for predicting the sound absorption performance of porous metal materials, and could
be utilized to guide the design and fabrication of the sound-absorption porous metal materials.
- 合写作者：
- Dong Guan, Jiu Hui Wu, Jing Li
- 卷号：
- Vol.626
- 页面范围：
- 29-34
- 是否译文：
- 否
- 发表时间：
- 2014-12-01