Collaborative Research: Frequency Selective Structures for High Sensitivity/High Resolution Damage Identification via Impediographic Tomography

这项研究的主要目的是通过创造新型的频率选择结构(FSS)和基于FSS的超声监测技术来促进结构健康监测(SHM)系统的发展。建议的方法是基于并行设计的概念，即结构体系不再改装为现有结构，而是与结构本身同时设计。该系统是通过实施频率选择结构的思想来实现的。FSS利用失谐周期结构的概念作为通用框架来合成具有自聚焦振动能量能力的动态定制组件。新的结构设计方法将允许向受损区域提供有针对性的激励，即使是在复杂、不均匀的部件中也是如此。FSS与阻抗方法的集成将使先进的损伤识别能力成为可能，其特点是高灵敏度、高分辨率和最小的换能器和传感网络。如果成功，这项研究将为综合复杂机械系统的新一代结构损伤识别方法开辟一条具有变革性的智能途径。该技术将具有普遍适用性，并可在航空航天、机械和土木工程领域实施，从而导致具有先进健康监测能力的下一代交通和基础设施系统。拟议的技术还将消除迄今阻碍试验性实施和验证阻抗法的障碍。实验结果将使人们对心阻抗图有一个前所未有的了解，并提供关键信息，以促进其在不同领域的应用，例如医学成像，在这些领域，远程非侵入性监测技术是首要的。这些成果将通过课堂教学、本科生和研究生辅导、社区推广以及与潜在用户的合作来传播。

The main objective of this research is to advance the state of the art of Structural Health Monitoring (SHM) systems by creating novel Frequency Selective Structures (FSS) and an FSS-based Impediographic monitoring technique. The proposed approach is based on the concept of concurrent design where the SHM system is no longer retrofitted to an existing structure but, instead, it is designed concurrently with the structure itself. The system is achieved by implementing the idea of Frequency Selective Structure. FSS exploit the concept of mistuned periodic structures as a general framework to synthesize dynamically tailored components with self-focusing vibration energy capabilities. The new structural design approach will allow delivering targeted excitation to the damaged areas even in complex, non homogeneous components. The integration of FSS with the impediographic approach will then enable advanced damage identification capabilities characterized by high sensitivity, high resolution and a minimized transducer and sensory network. If successful, this research will create a transformative intellectual pathway in synthesizing novel and realistic structural damage identification methods of the next generation for complex mechanical systems. The technology will have general applicability and could be implemented across the aerospace, mechanical and civil engineering fields leading to the next generation of transportation and infrastructure systems having advanced health monitoring capabilities. The proposed technology will also eliminate the barriers that have prevented, to date, the experimental implementation and validation of the impediographic approach. Experimental findings will allow an unprecedented insight into impediography and provide critical inputs to foster its application to diverse fields, such as medical imaging, where remote non-invasive monitoring techniques are of primary importance. The results will be disseminated through classroom teaching, undergraduate and graduate student mentoring, community outreach, and collaboration with potential users.