Self-Adaptive Electromechanical Metamaterials

这笔赠款将支持非线性振动和波传播的研究，以开发新的多功能超材料器件，从而促进科学进步和国家繁荣。超材料是人工工程材料，用于操纵和控制声音，光和许多其他物理现象。这些材料已被证明在许多应用中是有用的，例如超声波、振动缓解、能量收集和感测（例如，复合滤波、光通道）。然而，目前可用的大多数机械能控制装置在窄的频率范围内操作，并且不能适应变化的频率。该奖项将支持基础研究，为自适应超材料的设计和制造提供所需的知识，可以实现宽频率自调谐范围。这种新的自适应超材料可以很容易地集成到各种工程结构中（例如，汽车或飞机部件），以实现低成本和可靠的振动缓解、能量收集和感测技术。其他系统和应用也将从这项研究中受益，包括用于风致振动控制的吸收器，以及用于实时监测燃气轮机和民用基础设施的自供电传感器。该项目更广泛的影响包括纳入代表性不足群体的学生，指导和培训本科生和研究生，并将研究结果纳入课堂材料。自适应超材料的设计将使用被动自调谐的概念，通过一个滑动的质量，和准周期性安排的本地谐振器。本研究的主要目的是获得基本的了解，在这样的机电超材料的非线性动态相互作用。第二个目标是测试的假设，准周期性安排和自调谐超材料之间的相互作用，可以提高振动缓解和能量收集或传感的性能。为了解决这个问题，研究小组将进行理论，计算和实验分析相结合。准周期性的本地谐振器将被检查的目的，实现可调拓扑带隙。该团队将研究如何利用局部拓扑保护模式来改善能量收集和感知，同时保持振动缓解性能。将制造自适应超材料的原型，并进行严格的实验来验证和完善理论发展。预计自适应元结构将为广泛的工程应用提供前所未有的性能特征。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This grant will support research on nonlinear vibrations and wave propagation to enable the development of new multi-functional metamaterial devices, thus promoting both the progress of science and advancing national prosperity. Metamaterials are artificially engineered materials used to manipulate and control sound, light, and many other physical phenomena. These materials have proven to be useful in many applications such as ultrasonic, vibration mitigation, energy harvesting, and sensing (e.g., complex filtering, light channeling). However, most mechanical energy control devices currently available operate in a narrow frequency range and cannot adapt to changing frequency. This award will support fundamental research to provide needed knowledge for the design and fabrication of self-adaptive metamaterials that can achieve a wide frequency self-tuning range. The new self-adaptive metamaterial can be easily integrated into various engineering structures (e.g., automotive or aircraft components) to enable low-cost and reliable vibration mitigation, energy harvesting, and sensing techniques. Other systems and applications that will also benefit from this research include absorbers for wind-induced vibration control, as well as self-powered sensors for real-time monitoring of gas turbines and civil infrastructure. The broader impacts of the project include inclusion of students from underrepresented groups, mentoring and training of undergraduate and graduate students, and integration of the research findings in classroom materials. The self-adaptive metamaterial will be designed using the concept of passive self-tuning via a sliding mass, and quasiperiodic arrangements of the local resonators. The primary objective of this research is to gain fundamental understanding of the nonlinear dynamic interactions within such an electromechanical metamaterial. The secondary objective is to test the hypothesis that the interplay between quasiperiodic arrangements and self-tunability in metamaterials can improve the performance of vibration mitigation and energy harvesting or sensing. To address this problem, the research team will conduct a combination of theoretical, computational, and experimental analyses. Quasiperiodicity in the local resonators will be examined for the purpose of realizing tunable-topological bandgaps. The team will investigate how localized topologically protected modes can be harnessed to improve energy harvesting and sensing while conserving vibration mitigation performance. Prototypes of the self-adaptive metamaterial will be fabricated, and rigorous experiments will be conducted to validate and refine the theoretical development. It is anticipated that the self-adaptive metastructure will provide unprecedented performance characteristics for a wide range of engineering applications.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.