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: 0913857
• 负责人: Yunfeng Zhang
• 金额: $ 5.53万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-01-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0913857&HistoricalAwards=false
• 关键词: Collaborative; Research; Sensor; Fusion; Comprehensive

This collaborative research project 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. Deterioration of large infrastructure systems is a common, yet complex problem that requires innovative sensor technologies to address. 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 to monitor dynamic stress in steel cables will be used. 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.

这一合作研究项目的重点是集成五种新兴的传感器技术，当这些技术融合到结构健康监测(SHM)系统中时，有可能准确识别结构损坏。大型基础设施系统的恶化是一个常见但复杂的问题，需要创新的传感器技术来解决。在局部尺度上，提出了将压电涂料应用于裂缝被动声发射传感。此外，还将探索利用压电陶瓷元件对易开裂的钢件进行主动超声检测。将使用弹磁(EM)传感器来监测钢索中的动应力。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响应。最后，一个使用摄像机的基于视觉的系统将测量结构位移。为了从根本上解决制定一个全面的SHM系统的挑战性问题，一个由韩国高级科学与技术研究所领导的来自韩国的SHM研究人员领导团队组成了一个国际合作小组。这项国际合作有助于畅通无阻地进入韩国公路桥，在那里可以监测和控制荷载和结构状况。教育是拟议中的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工作者交流，接受国际研究方面的培训。最后，各级将有不同的学生群体参与，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。