Development of Advanced Techniques in Structural Health Monitoring and Enhancement

结构健康监测和增强先进技术的发展

基本信息

  • 批准号:
    RGPIN-2015-05013
  • 负责人:
  • 金额:
    $ 1.68万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2015
  • 资助国家:
    加拿大
  • 起止时间:
    2015-01-01 至 2016-12-31
  • 项目状态:
    已结题

项目摘要

Novel techniques will be developed to increase the sensitivity of structural health monitoring based on the vibration analysis and achieve the effective structural repair and enhancement by using smart materials so as to improve reliability and durability of various mechanical engineering structures (e.g. beams, plates and frames in ground vehicles and aircraft). First, sensitivity of the damage detection based on the vibration analysis will be increased by developing and applying new data analysis methods and novel vibration analysis techniques with active control process. These methods can detect the occurrence and growth of the fatigue crack more efficiently and evaluate the damage extent. Second, damages (e.g. crack and loose of joints) on plate and frame structures will be located by using high resolution laser sensors and spatial wavelet analysis. In addition, with the knowledge of occurrence, growth and location of various types of damage from the aforementioned monitoring techniques, new structural repair and enhancement processes will be developed to improve and extend the structural reliability and serving life. New actuators coupled with piezoelectric stacks and/or fibers will be applied to provide excitation at the site(s) of damage to reduce the stress concentration. Different mounting and control methods of the new piezoelectric actuators will be studied to realize efficient repair and enhancement processes that can fit the variable working and loading conditions.
发展基于振动分析的结构健康监测新技术,提高结构健康监测的灵敏度,利用智能材料实现有效的结构修复和加固,以提高各种机械工程结构(如地面车辆和飞机中的梁、板、架等)的可靠性和耐久性。首先,基于振动分析的损伤检测的灵敏度将通过开发和应用新的数据分析方法和具有主动控制过程的新的振动分析技术来增加。这些方法可以更有效地检测疲劳裂纹的发生和扩展,并评估损伤程度。其次,利用高分辨率激光传感器和空间小波分析对板架结构的损伤(如裂缝和节点松动)进行定位。此外,通过上述监测技术了解各种类型损坏的发生、发展和位置,将开发新的结构修复和增强过程,以提高和延长结构可靠性和使用寿命。将应用与压电叠层和/或纤维耦合的新致动器,以在损伤部位提供激励,从而减少应力集中。将研究新型压电致动器的不同安装和控制方法,以实现有效的修复和增强过程,以适应可变的工作和负载条件。

项目成果

期刊论文数量(0)
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Wu, Nan其他文献

Construction of Online Teaching Acceptance Model of University Library under the Epidemic Situation.
SIGMA leverages protein structural information to predict the pathogenicity of missense variants.
  • DOI:
    10.1016/j.crmeth.2023.100687
  • 发表时间:
    2024-01-22
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zhao, Hengqiang;Du, Huakang;Zhao, Sen;Chen, Zefu;Li, Yaqi;Xu, Kexin;Liu, Bowen;Cheng, Xi;Wen, Wen;Li, Guozhuang;Chen, Guilin;Zhao, Zhengye;Qiu, Guixing;Liu, Pengfei;Zhang, Terry Jianguo;Wu, Zhihong;Wu, Nan
  • 通讯作者:
    Wu, Nan
ZIKV infection differentially affects the transcriptional profiles in HTR8 and U251 cells.
  • DOI:
    10.1016/j.virusres.2023.199166
  • 发表时间:
    2023-09
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Chen, Qiqi;Li, Nina;Zeng, Shike;Wu, Shu;Luo, Xin;Zhang, Shengze;Zhu, Lin;Wu, Jiani;Xie, Ting;Bai, Shaohui;Zhang, Hao;Jiang, Zhiyuan;Lin, Shaoli;Wu, Nan;Jiang, Ying;Fang, Shisong;Wang, Xin;Shu, Yuelong;Luo, Huanle
  • 通讯作者:
    Luo, Huanle
Sulfated Fucogalactan From Laminaria Japonica Ameliorates β-Cell Failure by Attenuating Mitochondrial Dysfunction via SIRT1-PGC1-α Signaling Pathway Activation.
海带硫酸化岩藻半乳聚糖通过 SIRT1™ PGC1-α 信号通路激活减轻线粒体功能障碍,从而改善 β 细胞衰竭
  • DOI:
    10.3389/fendo.2022.881256
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Wu, Nan;Jin, Weihua;Zhao, Yuchen;Wang, Hong;He, Sunyue;Zhang, Wenjing;Zhou, Jiaqiang
  • 通讯作者:
    Zhou, Jiaqiang
TBX6 as a cause of a combined skeletal-kidney dysplasia syndrome.
  • DOI:
    10.1002/ajmg.a.62972
  • 发表时间:
    2022-12
  • 期刊:
  • 影响因子:
    2
  • 作者:
    Li, Guozhuang;Strong, Alanna;Wang, Haojun;Kim, Ji-Sun;Watson, Deborah;Zhao, Sen;Vaccaro, Courtney;Hartung, Erum;Hakonarson, Hakon;Zhang, Terry Jianguo;Giampietro, Philip F.;Wu, Nan
  • 通讯作者:
    Wu, Nan

Wu, Nan的其他文献

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{{ truncateString('Wu, Nan', 18)}}的其他基金

Development of Advanced Technologies for Structural Damage Identification and Prediction
结构损伤识别和预测先进技术的开发
  • 批准号:
    RGPIN-2021-03356
  • 财政年份:
    2022
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Advanced Technologies for Structural Damage Identification and Prediction
结构损伤识别和预测先进技术的开发
  • 批准号:
    RGPIN-2021-03356
  • 财政年份:
    2021
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Advanced Techniques in Structural Health Monitoring and Enhancement
结构健康监测和增强先进技术的发展
  • 批准号:
    RGPIN-2015-05013
  • 财政年份:
    2020
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Advanced Techniques in Structural Health Monitoring and Enhancement
结构健康监测和增强先进技术的发展
  • 批准号:
    RGPIN-2015-05013
  • 财政年份:
    2019
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Design improvement of Sofa Structural Components based on load path analysis considering cost & weight efficiency
基于考虑成本的载荷路径分析的沙发结构件设计改进
  • 批准号:
    523932-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Engage Grants Program
Development of Advanced Techniques in Structural Health Monitoring and Enhancement
结构健康监测和增强先进技术的发展
  • 批准号:
    RGPIN-2015-05013
  • 财政年份:
    2018
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Advanced Techniques in Structural Health Monitoring and Enhancement
结构健康监测和增强先进技术的发展
  • 批准号:
    RGPIN-2015-05013
  • 财政年份:
    2017
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Advanced Techniques in Structural Health Monitoring and Enhancement
结构健康监测和增强先进技术的发展
  • 批准号:
    RGPIN-2015-05013
  • 财政年份:
    2016
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Fracture detection on coach frame welding joints with piezoelectric composite coating
压电复合涂层客车车架焊接接头断裂检测
  • 批准号:
    490986-2015
  • 财政年份:
    2015
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Engage Grants Program
Fuel cell modeling
燃料电池建模
  • 批准号:
    415048-2011
  • 财政年份:
    2011
  • 资助金额:
    $ 1.68万
  • 项目类别:
    University Undergraduate Student Research Awards

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