计量与测试技术2024,Vol.51Issue(3) :85-88,92.DOI:10.15988/j.cnki.1004-6941.2024.3.025

多孔吸声材料吸声性能优化及工程应用

Optimization and Application of Sound Absorption Performance of Porous Sound-absorbing Material

李中云 王继承
计量与测试技术2024,Vol.51Issue(3) :85-88,92.DOI:10.15988/j.cnki.1004-6941.2024.3.025

多孔吸声材料吸声性能优化及工程应用

Optimization and Application of Sound Absorption Performance of Porous Sound-absorbing Material

李中云 1王继承2
扫码查看

作者信息

  • 1. 四川内江高信建设投资有限责任公司
  • 2. 广东省质量监督海洋工程装备振动噪声检验站
  • 折叠

摘要

本文采用粒子群优化技术拟合多孔吸声材料JCA(Johnson-Champonx-Allward)模型中的非声学参数,并作为多孔吸声材料改进方向的依据,将其平均吸声系数从0.51提高至0.85.实验证明:优化后,在某体育馆建筑中的空调机组降噪工程中,进行实测敏感建筑处的夜间噪声,噪声由61.6dBA降低至48.6dBA,达到了降噪整改的效果.

Abstract

In this paper,particle swarm optimization(PSO)was used to fit the non-acoustic parameters in the JCA(Johnson-Champonx-Allward)model,and as a basis for the improvement direction of porous sound absorb-ing materials,the average absorption coefficient of porous sound absorbing materials was increased from 0.51 to 0.85.The experiment shows that:after optimization,in the noise reduction project of air conditioning unit in a gymnasium building,the night noise in the sensitive building is measured,and the noise is reduced from 61.6dBA to 48.6dBA,and the effect of noise reduction and rectification is achieved.

关键词

多孔吸声材料/JCA模型/粒子群优化算法/吸声系数

Key words

porous coefficient material/JCA model/particle swarm optimization algorithm/sound absorption coeffi-cient

引用本文复制引用

出版年

2024
计量与测试技术
成都市计量监督检定测试所

计量与测试技术

影响因子:0.175
ISSN:1004-6941
参考文献量13
段落导航相关论文