SST - Ferroelectric Thin-Film Active Sensor Arrays for Structural Health Monitoring
SST - 用于结构健康监测的铁电薄膜有源传感器阵列
基本信息
- 批准号:0528873
- 负责人:
- 金额:--
- 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
- 起止时间:2005-09-01 至 2009-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Abstract0528873PI: Victor GiurgiutiuUniv. South CarolinaThe project will use nano fabrication methods (such as pulsed laser deposition) and advanced nano investigative techniques (such as SEAM, SPM, TEM, EPMA, EDS, HR-SEM, AFM, XRD) to grow miniaturized thin-film active sensor arrays on typical structural materials for use in advanced structural health monitoring applications. Appropriate buffer interfaces to ensure durable adherence of the ferroelectric film to the structural material and coherent epitaxial growth will be developed. High-performance environmentally friendly ferroelectric compositions will be developed. Modeling and analysis will be used in developing the buffered interface, the nano-fabrication processing methods, and the Lamb/Rayleigh wave phased-array algorithms for structural health monitoring applications of these new devices. The highly interdisciplinary character of the proposal is covered by a sensors small team with members from the disciplines of material science, electrical engineering, mechanical engineering, and physics, spanning over four universities (Louisiana State University, Pennsylvania State University, University of South Carolina, University of Texas at San Antonio), of which one is a Hispanic-serving institution (HSI): The project will employed analytical modeling, numerical simulation, and experimental validation. It will build on the preliminary results obtained by the individual investigators. In additional to technical activities, the project will address important sensors education and outreach activities.This is an EPSCoR research project supported under sensor solicitation NSF 05-625.
摘要0528873 PI:维克托GiurgiutiuUniv.该项目将使用纳米制造方法(如脉冲激光沉积)和先进的纳米调查技术(如SEAM,SPM,TEM,EPMA,EDS,HR-SEM,AFM,XRD)在典型的结构材料上生长微型薄膜有源传感器阵列,用于先进的结构健康监测应用。适当的缓冲界面,以确保持久的铁电薄膜的结构材料和连贯的外延生长的粘附将被开发。高性能、环境友好的铁电复合材料将得到发展。建模和分析将用于开发缓冲接口,纳米加工处理方法,和兰姆/瑞利波相控阵算法,这些新设备的结构健康监测应用。该提案的高度跨学科性质由一个传感器小组负责,该小组的成员来自材料科学,电气工程,机械工程和物理学,跨越四所大学(路易斯安那州立大学、宾夕法尼亚州立大学、南卡罗来纳州大学、德克萨斯大学圣安东尼奥分校),其中一所为西班牙裔服务机构(HSI):该项目将采用分析建模,数值模拟和实验验证。它将建立在各个调查人员获得的初步结果的基础上。除技术活动外,该项目还将开展重要的传感器教育和推广活动。这是一个EPSCoR研究项目,得到传感器招标NSF 05-625的支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Victor Giurgiutiu其他文献
Investigations of Fatigue Crack Detection Using Local Vibration Techniques: Numerical and Experimental Studies
- DOI:
10.1007/s10921-023-00922-4 - 发表时间:
2023-01-11 - 期刊:
- 影响因子:2.400
- 作者:
Asaad Migot;Hussein N. H. Naser;Adnan A. Ugla;Victor Giurgiutiu - 通讯作者:
Victor Giurgiutiu
Disbond detection with piezoelectric wafer active sensors in RC structures strengthened with FRP composite overlays
- DOI:
10.1007/s11803-003-0005-9 - 发表时间:
2003-12-01 - 期刊:
- 影响因子:3.300
- 作者:
Victor Giurgiutiu;Kent Harries;Michael Petrou;Joel Bost;Josh B. Quattlebaum - 通讯作者:
Josh B. Quattlebaum
Fatigue crack damage detection using subharmonic component with nonlinear boundary condition
使用具有非线性边界条件的次谐波分量进行疲劳裂纹损伤检测
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Weiliang Wu;Yanfeng Shen;Wenzhong Qu;Li Xiao;Victor Giurgiutiu - 通讯作者:
Victor Giurgiutiu
Victor Giurgiutiu的其他文献
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{{ truncateString('Victor Giurgiutiu', 18)}}的其他基金
Exact Modeling of Power and Energy Transduction for Optimum Design of Structurally-Integrated Thin-Film Active Sensors
功率和能量转换的精确建模,用于结构集成薄膜有源传感器的优化设计
- 批准号:
0925466 - 财政年份:2009
- 资助金额:
-- - 项目类别:
Standard Grant
Predictive Methodologies for the Design of Lamb-Wave Piezoelectric Wafer Active Sensors for Structural Health Monitoring, Damage Detection and Failure Prevention
用于结构健康监测、损坏检测和故障预防的兰姆波压电晶片有源传感器设计的预测方法
- 批准号:
0408578 - 财政年份:2004
- 资助金额:
-- - 项目类别:
Standard Grant
Microcontroller/Mechatronics Education of Non-Electrical Engineering Students
非电气工程专业学生的微控制器/机电一体化教育
- 批准号:
0126966 - 财政年份:2002
- 资助金额:
-- - 项目类别:
Standard Grant
US-Egypt Cooperative Research: Smart Composite Materials for Monitoring Structural Damage
美埃合作研究:用于监测结构损伤的智能复合材料
- 批准号:
9904493 - 财政年份:1999
- 资助金额:
-- - 项目类别:
Standard Grant
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