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

作　　者：李中云 王继承 LI Zhongyun;WANG Jicheng

机构地区：[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

出　　处：《计量与测试技术》2024年第3期85-88,92,共5页Metrology & Measurement Technique

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。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 absorbing 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 

分 类 号：TB34[一般工业技术—材料科学与工程]