基于多种群遗传算法的水下吸声覆盖层结构参数优化设计

采用传递函数法导出含有渐变空腔的吸声覆盖层的声压插入损失,利用吸声覆盖层结构的声学特性,对吸声覆盖层的吸声系数进行计算。分析计算结果,探讨吸声覆盖层的不同结构参数对吸声系数的影响。以吸声覆盖层的反射系数为优化目标,对空腔的几何尺寸和吸声覆盖层的厚度参数设计提出优化方法。基于吸声覆盖层结构的数学模型,同时利用多种群遗传算法对消声层结构进行多参数优化设计研究。结果表明,在同等设计条件下,优化后吸声覆盖层的吸声系数得到了明显提高。该方法对水下吸声覆盖层的吸声效果的提高具有一定的理论与现实意义。

Optimization Design of Underwater Anechoic Coating Structural Parameters Using MPGA

By employing the transfer function method, the pressure insertion loss of anechoic coating model with gradual cavity was predicted. Based on acoustic performance of underwater anechoic coating, the acoustical absorption coefficient of anechoic coating was calculated. In addition, the effect of different structural parameters of anechoic layer to the acoustical absorption coefficient was discussed. And the goal of the optimization was to decrease the reflection coefficient of anechoic coating. Moreover, the Multi-population Genetic Algorithm (MPGA) was utilized to optimize the structure parameters of opened-cell layer. Finally, according to the simulation result, it was concluded that the optimization results can get better acoustical absorption performance, which illustrated the effectiveness and feasibility of MPGA to the optimal design of the underwater anechoic coating.