期刊文献+

环境温度影响下基于频率协整的在线损伤识别 被引量:14

Online damage detection based on cointegration of frequencies under influence of environmental temperature
下载PDF
导出
摘要 频率作为结构损伤特征参数,在实际工程中容易测得且具有较高的测量精度,但同时也常常受到外界环境和运营条件变化的影响,导致在时间序列上的非平稳,给实际工程的健康监测和损伤判别带来了干扰.为解决此问题,引入计量经济学的协整概念,通过非平稳序列的线性组合得到平稳序列,将因环境因素变化导致的结构特征参数非平稳问题转化为平稳问题.首先,详细介绍了ADF(augmented Dickey-Fuller)检验和EG(Engle-Granger)两步法检验,检验结构特征参数的非平稳阶数并计算协整系数;然后,以一个简支梁为例验证了结构频率序列之间的协整关系,给出了环境温度影响下基于频率协整的在线损伤识别步骤;最后,用预应力钢筋混凝土梁与钢桁架简支桥的算例验证了所提方法的有效性和鲁棒性. Structure frequency,which is always regarded as damage detection feature for its more convenient testability and higher measurement precision,is also susceptible to environmental and operational variations.The variations lead to frequency sequence non-stationary and make much disturbances for actual structure health monitoring and damage detection.So cointegration method in econometrics is introduced to deal with the non-stationary problem by the linear combination of nonstationary variables,thus the non-stationary problem for structure damage detection feature caused by environmental factor variation is transformed to stationary problem.At first,ADF(augmented Dickey-Fuller)test and EG(Engle-Granger)test are detailedly introduced to check non-stationary order of the feature sequence and calculate the cointegration coefficients.Next,the cointegration relationship between frequency sequences is verified using a simple supported beam and online damage detection procedure based on cointegration of frequency under the influence of environmental temperature is introduced.At last,the validity and robustness of the proposed method are illustrated through a prestressed concrete beam and a simple supported steel bridge.
出处 《大连理工大学学报》 EI CAS CSCD 北大核心 2014年第3期307-314,共8页 Journal of Dalian University of Technology
基金 国家自然科学基金资助项目(51327003) 国家自然科学基金委创新研究群体基金资助项目(51121005)
关键词 协整余量 结构损伤识别 在线监测 环境温度 cointegration residue structure damage detection online monitoring environmental temperature
  • 相关文献

参考文献18

  • 1李宏男,李东升.土木工程结构安全性评估、健康监测及诊断述评[J].地震工程与工程振动,2002,22(3):82-90. 被引量:249
  • 2Cornwell P J, Kam M, Carlison B, etal. Comparative study of vibration-based damage ID algorithms [J]. Proceedings of the International Modal Analysis Conference-IMAC, 1998, 2: 1701- 1716.
  • 3Friswell M I, Penny J E T. The practical limits of damage detection and location using vibration data [C] // llth VPI&SU Symposium on Structural Dynamics and Control. Blacksburg: VPISU, 1997 : 31-40.
  • 4Farrar C R, Baker W E, Bell T M, etal. Dynamic characterization and damage detection in the 1-40 bridge over the Rio Grande [R] // LA-12767-MS. NM ( United States ): Los Alamos National Laboratory, 1994.
  • 5Moorty S, Roeder C W. Temperature-dependent bridge movements [J] . Journal of Structural Engineering, ASCE, 1992, 118(4) :1090-1105.
  • 6Wood M G. Damage analysis of bridge structures using vibrational techniques [D]. Birmingham: University oI Aston, 1992.
  • 7Sohn H. Effects of environmental and operational variability on structural health monitoring [J]. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2007, 365(1851) : 539-560.
  • 8Yan A M, Kerschen G, De Boe P, et al. Structural damage diagnosis under varying environmental conditions - Part I A linear analysis [J]. Mechanical Systems and Signal Processing, 2005, 19 (4):847- 864.
  • 9Yan A M, Kerschen G, De Boe P, etal. Structural damage diagnosis under varying environmental conditions- Part II Local PCA for nonlinear cases [J]. Mechanical Systems and Signal Processing, 2005, 19(4) :865-880.
  • 10Kramer M A. Nonlinear principal component analysis using autoassociative neural networks [J]. AIChE Journal, 1991, 37(2) :233-343.

二级参考文献11

共引文献248

同被引文献108

引证文献14

二级引证文献34

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