Collaborative Research: Sensor Fusion for Comprehensive Health Monitoring of Complex Infrastructure Systems - An International Testbed Opportunity

合作研究：用于复杂基础设施系统全面健康监测的传感器融合——国际测试平台机会

• 批准号: 0726820
• 负责人: Yunfeng Zhang
• 金额: $ 11.01万
• 依托单位: Lehigh University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2009-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0726820&HistoricalAwards=false
• 关键词: Collaborative; Research; Sensor; Fusion; Comprehensive

Deterioration of large infrastructure systems is a common, yet complex problem that requires innovative sensor technologies to address. This collaborative proposal is focused upon the integration of five emerging sensor technologies that when fused into a structural health monitoring (SHM) system, have the potential to accurately identify structural distress. At the local-scale, piezoelectric paint is proposed for passive acoustic emission sensing of fracture. In addition, piezoelectric ceramic elements will be explored for active ultrasonic inspection of steel elements prone to cracking. Elasto-magentic (EM) sensors are proposed to monitor dynamic stress in steel cables. At the global-scale, "smart" wireless sensor networks will be adopted to monitor global system responses. Finally, a vision-based system using video cameras will measure structural displacements. To fundamentally address the challenging issues of formulation of a comprehensive SHM system, an international collaboration is formed with a leading team of SHM researchers from Korea, led by Korea Advanced Institute of Science & Technology. The international collaboration facilitates unfettered access to Korean highway bridges in which loading and structural conditions can be monitored and controlled. Education is an integral element of the proposed collaboration; US students will be trained in international research via student and educator exchanges between the US and Korea. Finally, a diverse group of students at all levels will be engaged including underrepresented graduate and undergraduate students as well as regional underprivileged K-12 students.

大型基础设施系统的恶化是一个常见而复杂的问题，需要创新的传感器技术来解决。 这项合作提案的重点是将五种新兴的传感器技术整合到结构健康监测（SHM）系统中，这些技术有可能准确识别结构故障。 在局部尺度上，提出了压电涂料用于被动声发射裂缝传感。 此外，还将探索压电陶瓷元件，用于对容易开裂的钢元件进行主动超声波检查。 提出了一种用于监测钢丝绳动应力的弹性-磁（EM）传感器。 在全球范围内，将采用“智能”无线传感器网络来监测全球系统的反应。 最后，使用摄像机的视觉系统将测量结构位移。 为了从根本上解决制定综合SHM系统的挑战性问题，与韩国高级科学技术研究所领导的韩国SHM研究人员领导团队进行了国际合作。 国际合作有助于不受限制地进入韩国公路桥梁，可以监测和控制桥梁的荷载和结构状况。 教育是拟议合作的一个组成部分;美国学生将通过美国和韩国之间的学生和教育家交流接受国际研究培训。 最后，一个不同层次的学生群体将参与，包括代表性不足的研究生和本科生以及区域贫困的K-12学生。