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SST: Multifunctional Adaptive Piezoelectric Sensory System for Structural Damage Detection

SST: Multifunctional Adaptive Piezoelectric Sensory System for Structural Damage Detection
SST:用于结构损伤检测的多功能自适应压电传感系统
批准号:
0528790
负责人:
Jiong Tang
金额:
$11.7万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-08-15 至 2010-07-31

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中文摘要
翻译
摘要合作研究0529029(PI:Kon-Well Wang,Penn州立大学)和0528790(PI:Jiong Tang,University of Connecticut)0528790(University of Connecticut)通过开发一种新的多功能自适应压电传感系统,该研究将从根本上推进基于频率响应的结构健康监测的最新技术。 的努力是开发(a)的方法,在使用可调压电电路和相关的新算法的多频域损伤识别;(B)新的本征结构分配技术的性能进一步提高;和(c)创新的电力电子创建传感器节点,集成了自感知驱动,参数调整,和能量收集功能,实现拟议的损伤检测方法。 这项研究有望提高感觉系统的灵敏度、鲁棒性和准确性,并最终提供一个易于实现、预测准确、独立和无线就绪的系统。 航空航天、民用、机械、运输和许多其他行业将受益于基于本研究结果开发的损伤检测设备和技术。 拟议的教育工作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。这两个合作项目得到了传感器倡议NSF 05-526的支持。
英文摘要
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.
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Collaborative Research: Structural Fault Diagnosis and Prognosis Utilizing a Physics-guided Data Analytics Approach
  • 批准号:
    1825324
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.08万
  • 财政年份:
    2018
  • 负责人:
    Jiong Tang
  • 依托单位:
BIGDATA: IA: Collaborative Research: From Bytes to Watts - A Data Science Solution to Improve Wind Energy Reliability and Operation
  • 批准号:
    1741174
  • 项目类别:
    Standard Grant
  • 资助金额:
    $27.5万
  • 财政年份:
    2017
  • 负责人:
    Jiong Tang
  • 依托单位:
CPS/Synergy/Collaborative Research: Cybernizing Mechanical Structures through Integrated Sensor-Structure Fabrication
  • 批准号:
    1544707
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.0万
  • 财政年份:
    2016
  • 负责人:
    Jiong Tang
  • 依托单位:
GOALI/Collaborative Research: A System-Level Framework for Operation and Maintenance: Synergizing Near and Long Term Cares for Wind Turbines
  • 批准号:
    1300236
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.85万
  • 财政年份:
    2013
  • 负责人:
    Jiong Tang
  • 依托单位:
国内基金
海外基金
A study on prototype flexible multifunctional graphene foam-based sensing grid (柔性多功能石墨烯泡沫传感网格原型研究)
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    20万元
  • 批准年份:
    2020
  • 负责人:
    SAGAR RIZWAN UR REHMAN
  • 依托单位: