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

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.