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遗传算法在双层微穿孔结构优化设计中的应用
引用本文:隋林强,赵晓丹,祝瑞银.遗传算法在双层微穿孔结构优化设计中的应用[J].噪声与振动控制,2006,26(2):49-52.
作者姓名:隋林强  赵晓丹  祝瑞银
作者单位:江苏大学,汽车与交通工程学院,江苏镇江,212013
摘    要:影响双层微穿孔结构的参数很多,其声阻抗及吸声系数的计算复杂。以双层微穿孔板的吸声学为优化目标,穿孔率、孔径及空腔深度为优化参数,研究基于遗传算法对双层微穿孔结构进行优化设计。通过计算程序,验证了该算法的可行性和有效性。写以前的算法比较表明,经优化过的双层微穿孔板的吸声效果有明显的提高。

关 键 词:声学  遗传算法  双层微穿孔结构  优化设计
文章编号:1006-1355(2006)02-0049-04
收稿时间:2005-07-15
修稿时间:2005年7月15日

Multilayer Microperforated Structure Optimization Design Using Genetic Algorithm
SUI Lin-qiang,ZHAO Xiao-dan,ZHU Rui-yin.Multilayer Microperforated Structure Optimization Design Using Genetic Algorithm[J].Noise and Vibration Control,2006,26(2):49-52.
Authors:SUI Lin-qiang  ZHAO Xiao-dan  ZHU Rui-yin
Affiliation:School of Automobile and Traffic Engineering, Jiangsu University, Zhen Jiang,Jiang Su, 212013, China
Abstract:There are some parameters that influence the multilayer microperfrated structure,which make acoustic impedance and absorption cofficient to compute complicatedly.In the paper,to make a optimization target of the multilayer microperfrated structure`s absorption efficacy,the boring rate,the aperture and the cavity deepth as the optimization parameters,and research the multilayer microperfrated structure optimization design basing on the Genetic algorithm.The theorical model development in this paper is proved by mathematicial procedure and shows that the algorithm is feasible and efficient.Compared to the previous algorithms,the algorithm proposed in the paper provides an effective approach for the multilayer microperfrated structure in engineering.
Keywords:acoustics  genetic algorithm  multilayer microperfrated structure  optimization design
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