粒子群优化算法在轨道交通降噪结构微穿孔板设计中的应用  

The application of particle swarm optimization algorithm in the design of micro-perforated panel absorber on rail traffic noise reducation structure

作　　者：徐春龙[1] 王晋国[1] 王静云[1] 常安定[1] 

机构地区：[1]长安大学理学院,陕西西安710064

出　　处：《西北大学学报（自然科学版）》2016年第1期33-37,共5页Journal of Northwest University（Natural Science Edition）

基　　金：中央高校基本科研业务费专项基金资助项目(2013G1121085;310812152001);国家自然科学基金资助项目(51101022)

摘　　要：为了研究轨道交通噪声的降噪结构,基于"微穿孔板吸声体精确理论",采用粒子群优化算法对微穿孔板结构参数的共振频率进行计算;以微穿孔板吸声体的共振频率为优化目标,孔径、穿孔率、空腔厚度为优化参数,用粒子群优化算法对微穿孔板吸声体的结构进行优化设计;以城市轨道交通噪声为例,设计了较为合理的结构模型,并通过数值实验验证。研究结果表明:粒子群优化算法是微穿孔板吸声体结构设计的一种可行和有效方法。In order to study the structure of the rail traffic noise absorber, based on the accurate theory of the micro-perforated panel absorber, the particle swarm optimization algorithm was used to calculate the resonance frequency under the micro-perforated panel structural parameters. To make a optimization target of the micro- perforated panel absorber＇s resonance frequency, the hole radius, the perforation, and the cavity depth as the optimization parameters, the particle swarm optimization algorithm was used to optimize the structure of the mi- cro-perforated plate absorber. Based on the urban rail traffic noise, more reasonable structure model was de- signed. Numerical experiments verify the feasibility and effectiveness of the algorithm. So a new design idea for the structural design of the micro-perforated plate absorber is provided.

关 键 词：轨道交通噪声 微穿孔板 共振频率 结构参数 粒子群优化 

分 类 号：O422.1[理学—声学]