近年来结构健康监测与损伤识别研究中广泛采用压电高频机电阻抗方法(EMI)。由于环境温度变化也会使阻抗谱产生频移和幅值变化，甚至淹没结构损伤对阻抗谱的影响，造成损伤误报。因此提出了一种基于协整处理阻抗谱的方法，以消除长期监测过程中环境温度变化的影响。分析了阻抗谱中协整向量的构造原理，利用ADF检验和Johansen检验确定其不平稳阶数，将温度变化影响下不平稳的阻抗谱峰值频率时间序列协整为一个平稳的余量序列。利用压电片高频主动激励进行了钢板在温度变化工况下模拟损伤的EMI检测识别实验。实验结果表明结构损伤导致平稳的协整余量序列发生突变，准确表征了结构损伤的发生，验证了阻抗谱协整处理环境温度变化方法的有效性。
Abstract
In recent years, the piezoelectric high-frequency electromechanical impedance method (EMI) has been widely used in the research of structural health monitoring and damage detection.Due to the environmental temperature variation, in the impedance spectrum, the frequency shift and amplitude variation, will usually occur, resulting in false diagnosis.The cointegration method was introduced to eliminate the temperature effects.The ADF test and Johansen test were used to determine the degree of non-stationary and cointegrate the non-stationary peak frequency series of the temperature influenced impedance spectrum into a stationary residual series.The EMI detection experiment for simulating the damage of a steel plate under a temperature varying environment was carried out by using the high-frequency active excitation of the piezoelectric sensor.The experimental results show that the structural damage leads to a sudden change in the cointegrated residual series, and its occurrence can be accurately characterized.
关键词
结构健康监测 /
压电阻抗方法 /
环境温度 /
时间序列 /
协整
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Key words
structural health monitoring /
electromechanical impedance /
environmental temperature /
time series /
cointegration
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参考文献
[1] 周述美，鲍跃全，李 惠. 基于结构灵敏度分析与稀疏约束优化的结构损伤识别方法[J]. 振动与冲击, 2016, 35(9): 135-140.
Zhou Shumei, Bao Yuequan, Li Hui. Structural Damage Identification Based on Structural Sensitivity Analysis and Sparse Regularized Optimization. Journal Of Vibration And Shock, 2016, 35(9): 135-140.
[2] Yu Y, Zhang P, Song Z, et al. Composite differential evolution algorithm for SHM with low carrier ratio[J]. IET Power Electronics, 2018, 11(6):1101-1109.
[3] 左春愿，冯新，周晶. 一种埋入型PZT的三维等效机电阻抗模型——第一部分：理论[J]. 振动与冲击, 2014, 33(21): 119-124.
Zuo Chunyuan;Feng Xin;Zhou Jing. A Three-Dimensional Model Of Effective Electromechanical Impedance For Embedded Pzt Transducers-Part One: Theory.[J] Journal Of Vibration And Shock, 2014, 33(21): 119-124.
[4] Park G, Sohn H, Farrar C. Overview of piezoelectric impedance-based health monitoring and path forward[J]. Shock and Vibration Digest,2003,35(6).451-464.
[5] Sun A F P, Chaudhry Z A, Rogers C A, et al. Automated real-time structure health monitoring via signature pattern recognition[J]. Proceedings of SPIE - The International Society for Optical Engineering, 1995,2443.
[6] Park G, Kabeya K, Cudney H and Inman D. Impedance-based structural health monitoring for temperature varying applications [J]. JSME International Journal, 1999, 42(2):249- 258.
[7] Koo K. Automated impedance-based structural health monitoring incorporating effective frequency shift for compensating temperature effects [J]. Journal of Intelligent Material Systems and Structures, 2009, 20:367-377.
[8] Baptista F G, Filho J V, Inman D J. Real-time multi-sensors measurement system with temperature effects compensation for impedance-based structural health monitoring [J]. Structural Health Monitoring, 2012, 11(2):173-186.
[9] Liu Gang, Zhang Jianxin, Yao Xuan, Qin Ping. Damage detection from continuous long-term static response using cointegration and MEWMA control chart [C]. Shanghai: International Conference on Sustainable Development of Critical Infrastructure, 2014: 421-429.
[10]Cross E G, Worden K, Chen Qian. Cointegration: a novel approach for the removal of environmental trends in structural health monitoring data [J]. Proceedings: Mathematical, Physical and Engineering Sciences, 2011, 467(2133): 2712-2732.
[11]Cross E J, Worden K. Approaches to nonlinear cointegration with a view towards applications in SHM [J]. Journal of Physics: Conference Series, 2011, 305(1): 012069, 1-11.
[12]刁延松，曹亚东，孙玉婷. 环境变化下基于AR模型系数和协整的海洋平台结构损伤识别[J]. 工程力学，2017，34(2)：179-188.
Diao Yansong, Cao Yadong, Sun Yuting. Structural damage identification based on AR model coefficients and cointegration for offshore platform under environmental variations [J].Engineering Mechanics, 2017, 34(2):179-188.
[13]梁亚斌，李东升，李宏男. 环境温度影响下基于频率协整的在线损伤识别[J]. 大连理工大学学报，2014，54(3)：307-314.
Liang Yabin, LI Dongsheng, LI Hongnan. Online damage detection based on cointegration of frequencies under the influence of environmental temperature [J]. Journal of Dalian University of Technology, 2014, 54(3):307-314.
[14]何浩祥，张小福，王小兵. 基于协整理论的环境温湿度效应下连续梁桥频率修正方法[J]. 振动与冲击, 2018, 37(7): 23-31.
He Haoxiang, Zhang Xiaofu, Wang Xiaobing. Frequency modification of continuous beam bridges based on co-integration theory under effects of temperature and humidity. Journal Of Vibration And Shock, 2018, 37(7): 23-31.
[15]宋琛琛，谢丽宇，薛松涛. 压电阻抗技术在结构健康监测中的应用研究[J]. 结构工程师， 2014(6)：67-76.
Song Chenchen, Xie Liyu, Xue Songtao. Review of piezoelectric impedance-based structural health monitoring [J]. Structural Engineers, 2014(6):67-76.
[16]Dao P B, Staszewski W J. Cointegration approach for temperature effect compensation in Lamb-wave-based damage detection [J]. Smart Materials & Structures, 2013, 22(9):095 002.
[17]Annamdas V, Yang Y, Soh C. Influence of loading on the electromechanical admittance of piezoceramic transducers [J]. Smart Materials & Structures, 2007, 16(5):1888-1897.
[18]Lim Y Y, Soh C K. Effect of varying axial load under fixed boundary condition on admittance signatures of electromechanical impedance technique [J]. Journal of Intelligent Material Systems & Structures, 2012, 23(7): 815-826.
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