Multi-objective optimization of asymmetric acoustic transmission with periodical structure
Multi-objective optimization of asymmetric acoustic transmission with periodical structure
复制标题
周期性结构非对称声传输的多目标优化
DOI：
10.1016/j.ultras.2017.09.007
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发表时间：
2017
期刊：
影响因子：
4.2
通讯作者：
Shao-yong Huo
中科院分区：
文献类型：
--
作者：
Jiu-jiu Chen;Jian-cheng Zhang;Shao-yong Huo
不对称声波传播对于各种设备中声波信号的控制和操纵非常重要。然而，以往寻找最佳非对称声传输（AAT）的方法是通过反复调整几何参数，从而导致耗时。在这里，我们提出了对AAT的多目标优化的研究，旨在针对设计变量实现最宽的工作频率范围（fr）和最高的透射率峰值（g）。为此，应用径向基函数（RBF）神经工作和有限元（FE）方法来获取过程中的有价值的数据。此外，还对fr.和g的设计参数进行了局部敏感性分析。最终，采用非支配排序遗传算法 II (NSGA-II) 来获得帕累托最优解。优化结果表明 AAT 的整体性能得到了很大改善，这对于设计各种声音设备可能具有重要意义。
Asymmetric acoustic wave propagation is important for control and manipulation of the acoustic wave.signals in various devices. However, previous approach to find optimal asymmetric acoustic transmission.(AAT) is through repeatedly adjusting the geometrical parameters, thus causing time-consuming. Here.we propose a study on the multi-objective optimization of the AAT, aiming to achieve the widest working.frequency range (fr) and the highest transmittance peak (g) with regard to the design variables. For this.purpose, the Radial Basis Function (RBF) neural work and finite element (FE) method are applied to obtain.the valuable data in the procedure. Furthermore, local sensitivity analysis of design parameters on the fr.and g are analyzed. Ultimately, the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) is adapted for.getting the Pareto-optimal solutions. The optimization results show great improvement for the overall.performance of the AAT, which could be potentially significant in designing various sound devices.