自适应软超材料及弹性波的调控

树莓派是一个完备的微型计算机，与传感器之间具有良好的兼容性，结合变形驱动装置，可以构建智能调控系统。本项目拟采用树莓派设计自适应智能调控的软超材料，并实现对弹性波的灵活控制。一方面，通过结构优化实现带隙覆盖频率最大化，达到宽频减振的目的。另一方面，通过力学分析选择合适的机械加载方式，改变晶格对称性，实现对弹性波拓扑态的调控。在此基础上，将智能调控概念引入到软超材料的设计与制备中。采用压电传感器和树莓派作为硬件支持，构建入射波信号自动拾取及分析系统，并搭建可机械加载的驱动装置。信号经滤波分析后通过驱动装置实现对可变形构型的自主控制，进一步使其与入射弹性波相作用，实现对弹性波传输的自适应调控。本项目研究将为设计自适应调控的软超材料并进而实现弹性波/声波的灵活调控提供新的途径。

Raspberry pi is a complete microcomputer which has good compatibility with sensors. Combined with the deformation driving device, an intelligent control system can be constructed. In this project, raspberry pi is used to design self-adaptive soft metamaterials to realize the flexible manipulation of elastic waves. On the one hand, the frequency range of bandgap is maximized through optimization, to achieve the purpose of reducing vibration in the broadband frequency range. On the other hand, the appropriate mechanical loading is selected, so that the lattice symmetry can be changed and realize the manipulation of topological edge state. On this basis, the concept of intelligent control system is introduced into the design of soft metamaterials. The automatic pick-up and analysis system of incident wave signal is constructed by using piezoelectric sensors and raspberry pi and a mechanically loadable drive device is built. After the filtering analysis of the signal, the driving device is used to realize the autonomous control of the deformable configuration. Furthermore, it interacts with the incident elastic waves to realize the self-adaptive control of the elastic wave transmission. The research of this project provides a new way to design self-adaptive soft metamaterials and then realize the flexible manipulation of elastic/ acoustic waves.