Design of an acoustic metamaterial lens using genetic algorithms
Design of an acoustic metamaterial lens using genetic algorithms
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DOI：
10.1121/1.4744942
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发表时间：
2012-10-01
影响因子：
2.4
通讯作者：
Cummer, Steven A.
中科院分区：
文献类型：
--
作者：
Li, Dennis;Zigoneanu, Lucian;Cummer, Steven A.
目前的工作展示了一种优化声学超材料有效材料参数的遗传算法方法。目标器件是空气中的声梯度折射率 (GRIN) 透镜，理想情况下它具有最大的折射率、最小化的材料特性频率依赖性以及最小化的声阻抗失配。应用该算法会产生具有某些共同特征的复杂设计，以及比以前的设计更好的有效材料属性。修改优化的晶胞设计使其适合制造后，构建了二维透镜并进行了实验测试。其性能与模拟非常吻合。总体而言，优化方法能够提高折射率，但代价是增加频率依赖性。该算法找到的最佳解决方案提供了材料参数如何相互竞争的数值描述，从而描述了 GRIN 透镜可实现的性能水平。 (C) 2012 年美国声学学会。 [http://dx.doi.org/10.1121/1.4744942]
The present work demonstrates a genetic algorithm approach to optimizing the effective material parameters of an acoustic metamaterial. The target device is an acoustic gradient index (GRIN) lens in air, which ideally possesses a maximized index of refraction, minimized frequency dependence of the material properties, and minimized acoustic impedance mismatch. Applying this algorithm results in complex designs with certain common features, and effective material properties that are better than those present in previous designs. After modifying the optimized unit cell designs to make them suitable for fabrication, a two-dimensional lens was built and experimentally tested. Its performance was in good agreement with simulations. Overall, the optimization approach was able to improve the refractive index but at the cost of increased frequency dependence. The optimal solutions found by the algorithm provide a numerical description of how the material parameters compete with one another and thus describes the level of performance achievable in the GRIN lens. (C) 2012 Acoustical Society of America. [http://dx.doi.org/10.1121/1.4744942]