遗传算法在双层微穿孔结构优化设计中的应用

Multilayer Microperforated Structure Optimization Design Using Genetic Algorithm

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量为优化目标,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。与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。

There are some parameters that influence the multilaycr microperfrated structure , which make acoustic impedance and absorption coffieient 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 thc 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.