Self-Monitoring and Self-Repairing Structural Systems

自我监控和自我修复结构系统

• 批准号: 0120827
• 负责人: Daniel Inman
• 金额: $ 22.38万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-15 至 2006-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0120827&HistoricalAwards=false
• 关键词: Self; Monitoring; Repairing; Structural; Systems

Project Abstract:The proposed research examines distributed sensing and control as an integral component of self-healing structures. This research integrates structural health monitoring methods with smart materials, statistical pattern recognition, and control to produce a class of structures having the ability to detect damage and to perform active control to compensate for the damage. The objectives of the proposed research consist of:1) Integrating pattern recognition and data compression into the impedance-based health monitoring technique;2) Integrating elements of health monitoring and control to create self-repairing structures and machines;3) Investigating temperature and pressure effects on simultaneous health monitoring and control;4) Experimentally verifying our results and using the results of our experiments to modify and improve our theories;The engineering results of this research are systems that detect a problem, warn of the existence of the detected damage and then make a temporary repair, all while remaining in service. This scenario would allow systems to remain in service after a problem develops and to continue in operation until a convenient time for a more permanent repair is possible. By making the structures substantially easier to inspect and resistant to failure, costly periodic "down-time" of equipment will be significantly reduced. Industrial structures such as airframes, automobiles and machines can benefit from the application of the technology developed in this proposal.

项目摘要：拟议的研究将分布的感应和控制视为自我修复结构不可或缺的组成部分。这项研究将结构健康监测方法与智能材料，统计模式识别和控制结合在一起，以产生具有检测损害并进行主动控制以补偿损害的结构类别。 拟议研究的目标包括：1）将模式识别和数据压缩整合到基于阻抗的健康监测技术中； 2）整合健康监控和控制的要素，以创建自我修复的结构和机器； 3）研究温度和压力对同时健康监测和控制的影响； 4）实验验证我们的结果和进行研究的结果，并改善了该结果，并改进了这些结果，并改进了这些结果，并改进了我们的改进，并改进了我们的改进;一个问题，警告存在检测到的损坏，然后进行临时维修，同时仍在服役。 这种情况将使问题在出现问题后继续使用，并继续运行，直到可以进行更永久维修的方便时间为止。通过使结构更容易检查和抵抗故障，设备的昂贵定期“停机”将大大降低。 机身，汽车和机器等工业结构可以从本提案中开发的技术的应用中受益。