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: 1232436
• 负责人: Kon-Well Wang
• 金额: $ 24万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 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=1232436&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-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.

这项研究的主要目的是通过创建新颖的频率选择性结构（FSS）和基于FSS的障碍物监测技术来推进结构健康监测（SHM）系统的艺术状态。所提出的方法基于并发设计的概念，在该设计中，SHM系统不再重新改装为现有结构，而是与结构本身同时设计的。该系统是通过实现频率选择性结构的想法来实现的。 FSS利用误解的周期性结构的概念作为一个通用框架，以通过自我关注的振动能量能力合成动态定制的组件。新的结构设计方法将允许即使在复杂的，非均匀的组件中，也将有针对性的激发向受损区域传递。然后，FSS与障碍图的整合将实现以高灵敏度，高分辨率和最小化的传感器和感觉网络为特征的高级损害识别能力。如果成功的话，这项研究将创建一种变革性的智力途径，以综合复杂机械系统的下一代新颖而现实的结构损害识别方法。该技术将具有一般适用性，可以在整个航空航天，机械和土木工程领域中实施，从而导致具有先进的健康监测能力的下一代运输和基础设施系统。拟议的技术还将消除迄今为止阻止障碍方法实施和验证的障碍。实验发现将允许对障碍的前所未有的见解，并提供关键的输入，以促进其在不同领域的应用，例如医学成像，在这种情况下，远程非侵入性监测技术至关重要。结果将通过课堂教学，本科和研究生指导，社区外展和与潜在用户的合作进行传播。