期刊文献+

基于花萼状涡流传感器的损伤监测智能垫片

Damage-Monitoring Smart Washer Based on Rosette Eddy Current Sensor
在线阅读 下载PDF
导出
摘要 针对飞机金属螺栓连接结构中螺栓孔孔边裂纹定量监测需求,提出了一种基于花萼状涡流传感器的损伤监测智能垫片,构建智能垫片监测半解析模型,分析垫片材料电磁属性对损伤监测效果的影响,并进行在线监测试验验证分析结果.半解析模型结果表明,智能垫片各个感应通道的幅值比变化量随垫片磁导率增大而增大,而随垫片电导率增大而减小.程序载荷谱作用下2A12-T4铝合金试件疲劳裂纹监测试验结果表明,铝合金和不锈钢材料的支撑垫片均能有效实现裂纹损伤的定量监测,但不锈钢材料的智能垫片其监测曲线比铝合金材料的智能垫片平滑,监测效果好.将各通道幅值比变化曲线中的拐点作为特征点,通道1能够对累积损伤进行监测,通道2,3,4能够对疲劳裂纹扩展长度进行定量监测,监测精度达到1mm. To meet the need of monitoring the crack damage located at bolt hole of metallic boltedjoint structure,a kind of damage monitoring smart washer with rosette eddy current sensor was proposed.The influences of washer electromagnetic properties on monitoring capability were analyzed based on constructed semi-analytic model,and experiment of 2A12-T4 aluminum alloy under constant loading spectrum was carried out to validate analysis results.Semi-analytic model results show that amplitude ratio variation of smart washer increases with washer relative permeability,while decreases with washer conductivity.The result of fatigue crack monitoring experiment of 2A12-T4 aluminum alloy under constant loading spectrum verifies the damage monitoring capability of smart washer with aluminum alloy and stainless steel materials.However,monitoring curve of smart washer with stainless steel material is smoother than that with aluminum alloy material,which indicates that the smart washer with steel stainless material has a better monitoring capability.The first channel of smart washer is capable of monitoring on accumulated damage and the other three channels are capable of quantitative monitoring on fatigue crack,with monitoring precision of 1mm.
出处 《北京理工大学学报》 EI CAS CSCD 北大核心 2013年第11期1113-1118,共6页 Transactions of Beijing Institute of Technology
基金 国家高技术研究发展计划(2009AA04Z406) 国家自然科学基金资助项目(51201182)
关键词 智能垫片 损伤监测 半解析模型 涡流传感器 smart washer damage monitoring semi-analytic eddy current sensor
  • 相关文献

参考文献12

  • 1袁慎芳,邱雷,王强,苗苗,余振华.压电-光纤综合结构健康监测系统的研究及验证[J].航空学报,2009,30(2):348-356. 被引量:22
  • 2Kung P,Wang L T,Comanici M I. A novel landslide warning solution using single mode telecom fiber embedded in geo-textile[A].Shenzhen,China,2011.
  • 3Park G,Inman D J. Structural health monitoring using piezoelectric impedance measurements[J].Phil Trans R Soc A,2007.373-392.
  • 4Roach D. Real time crack detection using mountable comparative vacuum monitoring sensors[J].Smart Structure and Systems,2009,(04):317-328.
  • 5Campanella G,Calabrese L,Proverbio E. Evaluation of increasing damage severity in concrete structures by cluster analysis of acoustic emission signals[A].{H}Vienna,Austria,2010.
  • 6周奎,王琦,刘卫东,张简.土木工程结构健康监测的研究进展综述[J].工业建筑,2009,39(3):96-102. 被引量:25
  • 7伍山雄,李芳.大跨斜拉桥结构健康监测系统数据处理方法研究[J].施工技术,2009,38(2):94-96. 被引量:12
  • 8孟丛林,邓俊,傅波.飞行器结构健康监测系统设计与应用[J].系统仿真学报,2008,20(S1):542-545. 被引量:2
  • 9Goldfine N. Uncalibrated,absolute property estimation and measurement optimization for conducting and magnetic media using imposed w-k magnetometry[D].Cambridge,USA:Massachusetts Institute of Technology,1990.
  • 10Cheng D H S. The reflected impedance of a circular coil in the proximity of a semi-infinite medium[J].IEEE Trans on Instrument Measur,1965,(03):107-116.

二级参考文献68

  • 1Shenfang YUAN, Yingdi XU and Ge PENGThe Smart Materials & Structures Aeronautic Key Laboratory, Nanjing University of Aeronautic and Astronautic, Nanjing 210016, China.New Developments in Structural Health Monitoring Based on Diagnostic Lamb Wave[J].Journal of Materials Science & Technology,2004,20(5):490-496. 被引量:9
  • 2姜德生,李盛,刘胜春.光纤光栅传感系统在桥梁重载车识别中的应用[J].中外公路,2007,27(3):153-155. 被引量:4
  • 3杜善义,张博明.飞行器结构智能化研究及其发展趋势[J].宇航学报,2007,28(4):773-778. 被引量:32
  • 4A. Emin Aklan, F. Neeati Catbas, et al. Development of a model health monitoring guide for major bridges [R]. Drexel Intelligent Infrastructure and Transportation Safety Institute,2003.
  • 5Doebling S W, Farrar C R, Prime M B. A Summary Review of Vibratiou-based Damage Identification method [ J]. The Shock and Vibration Digest, 1998,30(2):91 - 105.
  • 6Sohn H, Farrar C R, Hemez F M. A Review of Structural Health Monitoring Literature: 1996 - 2001 [ R ]. Los Alamos National Laboratory Report, LA-13976-MS, 2004.
  • 7Rytter A. Vibration Based Inspection of Civil Engineering Structures [ D]. [ Ph. D. dissertation] : Aalborg University, Denmark, 1993.
  • 8Farrar C R, Worden K. An Introduction to Structural Health Monitoring[J].Phil. Trans. R. Soc., 2007,365:303 - 315.
  • 9Giraldo D F. A Structural Health Monitoring Frame-work for Civil Structures[D] : [ Ph. D. dissertation]. Washington University, Saint Louis, Missouri, USA, 2006.
  • 10Humar J, Bagchi A, Xu H. Performance of Vibration-based Techniques for the Identification of Structural Damage [ J ]. Structural Health Monitoring,2006,5(3) :215 - 241.

共引文献54

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部