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

本研究的主要目标是通过创建新的频率选择结构（FSS）和基于FSS的阻抗监测技术来推进结构健康监测（SHM）系统的最新技术水平。所提出的方法是基于并行设计的概念，其中的SHM系统不再是改造现有的结构，而是，它是同时设计的结构本身。该系统是通过实现频率选择性结构的思想来实现的。FSS利用失谐周期性结构的概念作为一个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将目标激励传递到受损区域，即使是在复杂的非均匀部件中。FSS与阻抗图方法的集成将使先进的损伤识别能力具有高灵敏度，高分辨率和最小化的传感器和传感网络。如果成功，这项研究将创造一个变革性的智力途径，综合新的和现实的结构损伤识别方法的下一代复杂的机械系统。该技术将具有普遍适用性，可以在航空航天、机械和土木工程领域实施，从而产生具有先进健康监测能力的下一代交通和基础设施系统。所提出的技术还将消除迄今为止阻碍阻抗图方法实验实施和验证的障碍。实验结果将使人们对心阻抗图有前所未有的了解，并为促进其在医学成像等不同领域的应用提供关键投入，在这些领域，远程非侵入性监测技术至关重要。将通过课堂教学、本科生和研究生辅导、社区外联以及与潜在用户的合作传播成果。

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.