SST: Multifunctional Adaptive Piezoelectric Sensory System for Structural Damage Detection

摘要合作研究0529029 （PI: Kon-Well Wang，宾夕法尼亚州立大学）和0528790 （PI: Tang Jiong，康涅狄格大学）0528790（康涅狄格大学）提出的研究将通过开发一种新的多功能自适应压电传感系统，从本质上推动基于频率响应的结构健康监测技术的发展。努力发展(a)使用可调谐压电电路的方法和相关的基于多频响的损伤识别新算法；(b)新颖的特征结构赋值技术，进一步提高性能；(c)创新电力电子技术，创建集成了自传感驱动、参数调整和能量收集功能的传感节点，以实现所提出的损伤检测方法。这项研究有望提高感官系统的灵敏度、鲁棒性和准确性；并将最终交付一个易于实现、预测准确、自包含和无线就绪的系统。航空航天、民用、机械、运输和许多其他行业将受益于基于此次调查结果开发的损伤检测设备和技术。拟议的教育努力将通过整合宾夕法尼亚州立大学和康涅狄格大学的研究和教育，对学生的学习产生广泛的影响。这两个合作项目由传感器倡议NSF 05-526支持。

AbstractCollaborative Research 0529029 (PI: Kon-Well Wang, Penn State University) and0528790 (PI: Jiong Tang, University of Connecticut)0528790 (University of Connecticut)The proposed research will fundamentally advance the state-of-the-art of frequency response based structural health monitoring by developing a new multifunctional adaptive piezoelectric sensory system. The efforts are to develop (a) methodology in using tunable piezoelectric circuits and the associated new algorithms for multiple-FRF based damage identification; (b) novel eigenstructure assignment technique for the further enhancement of performance; and (c) innovative power electronics to create sensory nodes that have integrated self-sensing actuation, parameter tuning, and energy harvesting functions for realizing the proposed damage detection methodology. This research is expected to increase the sensory system sensitivity, robustness, and accuracy; and will eventually deliver a system that is easy to implement, accurate in prediction, self-contained, and wireless-ready. The aerospace, civil, mechanical, transportation, and many other industries would benefit from the damage detection devices and technologies developed based on the outcomes of this investigation. The proposed educational efforts will have broad impact on student learning through integrating research and education at Penn State and University of Connecticut. These two collaborative projects are supported under sensor initiative NSF 05-526.