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

本研究的主要目的是通过创建新的频率选择结构（FSS）和基于FSS的Impedographic监测技术来推进结构健康监测（SHM）系统的发展水平。所提出的方法是基于并行设计的概念，其中SHM系统不再是改造现有的结构，而是与结构本身同时设计。该系统是通过实现频率选择结构的思想实现的。FSS利用失谐周期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提供有针对性的激励到受损区域，即使在复杂的，非均匀的组件。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，本研究将为综合新一代复杂机械系统的结构损伤识别方法开辟一条变革性的知识途径，该技术将具有普遍适用性和可实现性在航空航天、机械和土木工程领域，我们的技术将引领下一代交通和基础设施系统，使其具有先进的健康监测能力。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，其中远程非侵入性监测技术至关重要。研究结果将通过课堂教学、本科生和研究生辅导、社区外展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-basedImpediographic monitoring technique. The proposed approach is based on the concept of concurrentdesign where the SHM system is no longer retrofitted to an existing structure but, instead, it is designedconcurrently with the structure itself. The system is achieved by implementing the idea of FrequencySelective Structure. FSS exploit the concept of mistuned periodic structures as a general framework tosynthesize dynamically tailored components with self-focusing vibration energy capabilities. The newstructural 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 enableadvanced damage identification capabilities characterized by high sensitivity, high resolution and aminimized transducer and sensory network.If successful, this research will create a transformative intellectual pathway in synthesizing novel andrealistic 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 infrastructuresystems having advanced health monitoring capabilities. The proposed technology will also eliminate thebarriers that have prevented, to date, the experimental implementation and validation of theimpediographic approach. Experimental findings will allow an unprecedented insight into impediographyand provide critical inputs to foster its application to diverse fields, such as medical imaging, whereremote non-invasive monitoring techniques are of primary importance. The results will be disseminatedthrough classroom teaching, undergraduate and graduate student mentoring, community outreach, andcollaboration with potential users.