论文标题
使用优化设计多功能超材料
Design of multifunctional metamaterials using optimization
论文作者
论文摘要
本文探讨了优化设计多功能超材料的使用，并提出了一种构建潜在特性设计信封的方法。 AI和GAO（2017）提出的热机械超材料被用作研究的主题。使用基于有限元的周期均质化计算超材料的性能，该均质化利用开源插件（EASYPBC）在ABAQUS中实现。使用PYOPT软件包中的基于粒子群的优化方法解决了几个优化问题。一系列约束优化问题用于构建潜在属性的设计包络。与当前使用参数研究的实践相比，设计包膜更充分地捕获了超材料的潜力。这是因为优化器可以同时更改所有参数以找到最佳设计。这证明了使用基于优化的方法设计和探索多功能超材料特性的潜力。这种提出的方法是一般的，可以应用于任何超材料设计，假设存在精确的数值模型来评估其特性。
This paper explores the use of optimization to design multifunctional metamaterials, and proposes a methodology for constructing a design envelope of potential properties. A thermal-mechanical metamaterial, proposed by Ai and Gao (2017), is used as the subject of the study. The properties of the metamaterial are computed using finite element-based periodic homogenization, which is implemented in Abaqus utilizing an open-source plugin (EasyPBC). Several optimization problems are solved using a particle swarm-based optimization method from the pyOpt package. A series of constrained optimization problems are used to construct a design envelop of potential properties. The design envelope more fully captures the potential of the metamaterial, compared with the current practice of using parametric studies. This is because the optimizer can change all parameters simultaneously to find the optimal design. This demonstrates the potential of using an optimization-based approach for designing and exploring multifunctional metamaterial properties. This proposed approach is general and can be applied to any metamaterial design, assuming an accurate numerical model exists to evaluate its properties.
