CAREER: Remote Sensing of Damage in Large Civil Structures Using Embedded Sensors for Hazard Mitigation

职业：使用嵌入式传感器遥感大型土木结构的损坏以减轻危险

• 批准号: 9625004
• 负责人: Darryll Pines
• 金额: $ 20万
• 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: 1996
• 资助国家: 美国
• 起止时间: 1996-07-15 至 2001-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9625004&HistoricalAwards=false
• 关键词: CAREER; Remote; Sensing; Damage; Large

9625004 Pines This is a Faculty Early Career Develop (CAREER) award. The project involves integrating research and education to advance the technology of smart materials and structures and techniques to remotely monitor damage in large civil structures. The research focuses on the development of a smart civil structure with embedded piezoelectric sensors for inferring structural damage. The research will emphasize the integration of embedded sensors, actuators and processors into load carrying members of large civil structures for the purpose of remote damage detection. Throughout the course of the research, analytical and experimental results will be incorporated into the Clark School of Engineering interdisciplinary undergraduate and graduate curriculum which includes courses on structural dynamics, smart structures, earthquake engineering and nondestructive evaluation. The goal is to develop a parallel approach that bridges the gap between theory and reality. Students will be involved at all levels of the program, including analysis, design, construction and the dissemination of results. ***

9625004松树这是一个教师早期职业发展（职业生涯）奖。 该项目涉及整合研究和教育，以推进智能材料和结构的技术，以及远程监测大型土木结构损坏的技术。 研究的重点是开发一种智能土木结构与嵌入式压电传感器推断结构损伤。 本研究将强调将嵌入式传感器、致动器和处理器集成到大型土木结构的承载构件中，以进行远程损伤检测。 在整个研究过程中，分析和实验结果将被纳入克拉克工程学院跨学科本科和研究生课程，其中包括结构动力学，智能结构，地震工程和无损评估课程。 目标是开发一种平行方法，弥合理论与现实之间的差距。 学生将参与该计划的各个层面，包括分析，设计，施工和结果的传播。 ***