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

合作研究：通过阻抗成像技术进行高灵敏度/高分辨率损伤识别的频率选择结构

• 批准号: 1232423
• 负责人: Fabio Semperlotti
• 金额: $ 18.46万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1232423&HistoricalAwards=false
• 关键词: Collaborative; Research; Frequency; Selective; Structures

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.

这项研究的主要目标是通过创建新颖的频率选择结构 (FSS) 和基于 FSS 的阻抗监测技术来提高结构健康监测 (SHM) 系统的技术水平。所提出的方法基于并行设计的概念，其中 SHM 系统不再对现有结构进行改造，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、非均质的组件中。 FSS 与声学方法的集成将实现以高灵敏度、高分辨率和最小化传感器和传感网络为特征的先进损伤识别能力。如果成功，这项研究将创建一条变革性的智力途径，综合下一代新颖且现实的结构损伤识别方法。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，从而形成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谱方法的实验实施和验证的障碍。实验结果将使人们对声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。结果将通过课堂教学、本科生和研究生指导、社区外展以及与潜在用户的合作来传播。