基于多目标遗传算法的吸声覆盖层参数优化设计

针对圆柱空腔吸声覆盖层低、高频吸声的机制不同，提出了一种基于多目标遗传算法的吸声覆盖层参数优化设计方法.利用有限元软件ANSYS建立了平面波垂直入射吸声覆盖层的分析模型，并采用多目标遗传算法NSGA-II得到了多目标吸声问题的Pareto最优解集.结果表明：多目标优化设计全面考虑了圆柱空腔吸声覆盖层的低、高频吸声之间的耦合，可按需选择其满意的优化结果；比起仅优化吸声覆盖层的材料属性，考虑材料属性和结构参数的综合优化能够获得更佳的宽频吸声性能.

Parameter Optimization of a Sound Absorption Layer Based on Multi-Objective Genetic Algorithm

Since the sound absorption mechanism of cylindrical-hole layer at low-frequency and at high-frequency are different, an optimization and design method for the sound absorption layer based on the multi-objective genetic algorithm was developed. First, the calculation procedure of the plane wave normally impinging on the sound absorption layer was modeled by using the ANSYS software. Next, the non-dominated sorting genetic algorithm II (NSGA-II) was adopted to solve this optimization problem and get the Pareto optimization. The results indicate that the coupled relationship between the low-frequency and the high-frequency can be both considered during the multi-objective optimization process, and designers can choose the satisfactory optimization results according to their demands. Besides, compared to the optimization of the material properties only, the simultaneous optimization of material properties and structural parameters may result in a higher sound absorption coefficient in a wider frequency range.