Research on bolt looseness monitoring based on electromechanical impedance transmissibility technology

被引:5
|
作者
Yu, Hui [1 ]
Guo, Chenguang [1 ]
Li, Nanqi [1 ]
Lu, Shengdong [1 ]
机构
[1] Liaoning Tech Univ, Sch Mech Engn, Fuxin 123000, Peoples R China
基金
中国国家自然科学基金;
关键词
bolt looseness; EMI-TF method; excitation position; comparative tests; DAMAGE DETECTION; COMPOSITE STRUCTURES; IDENTIFICATION;
D O I
10.1088/1361-665X/ace813
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Centralized damage, such as bolt looseness, is one of the most common types of damage in bridge structures. Thus, early detection of such damage is essential for bridge maintenance. Detection methods based on transmittance functions (TFs) have been widely studied. These functions use a T matrix to calculate damage indicators and reflect changes in dynamic parameters, such as natural structural frequencies. However, existing research has shown that the excitation position significantly impacts the T matrix. Therefore, this study proposes a new method based on electromechanical impedance (EMI) for local damage characterization, namely, EMI-TF. A series of comparative tests shows that the EMI-TF process is more sensitive and accurate than the traditional TFs. In addition, the sensitivity of the EMI-TF and EMI methods is compared. Results show that using EMI-TF technology can achieve the localization of minor damage at lower frequencies, which, to some extent, overcomes the limitations of the traditional EMI method that can only detect minor damage at high frequencies. The repeatability of EMI-TF is also studied separately in experiments, with ten repeated experiments conducted. Results show that the experimental results of EMI-TF have high repeatability.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] A Vision-Based Bolt Looseness Detection Method for a Multi-Bolt Connection
    Deng, Lin
    Sa, Ye
    Li, Xiufang
    Lv, Miao
    Kou, Sidong
    Gao, Zhan
    APPLIED SCIENCES-BASEL, 2024, 14 (11):
  • [32] Multi-bolt looseness state monitoring using the recursive analytic based active sensing technique
    Jiang, Jian
    Chen, Yixuan
    Dai, Junwu
    Liang, Yabin
    MEASUREMENT, 2022, 191
  • [33] Research on Improved damage index for evaluating bolt looseness of flange structures
    Tang T.
    Hua M.
    Jiang X.
    Zhang Y.
    Zhang X.
    Zhang, Yuxiang (yuxiangz@tom.com), 1600, Beijing University of Aeronautics and Astronautics (BUAA) (47): : 123 - 131
  • [34] Temperature dependence of electromechanical impedance based bondline integrity monitoring
    Bilgunde, Prathamesh
    Bond, Leonard J.
    HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2017, 2017, 10170
  • [35] Structural Health Monitoring System Based on Electromechanical Impedance Measurements
    Rosiek, M.
    Martowicz, A.
    Uhl, T.
    STRUCTURAL HEALTH MONITORING 2011: CONDITION-BASED MAINTENANCE AND INTELLIGENT STRUCTURES, VOL 1, 2011, : 314 - 321
  • [36] Research on the vibration transmissibility of impedance modulating structure based on magnetorheological fluid
    Liu, Shaogang
    Shi, Xinxin
    Zhao, Dan
    Chen, Lu
    Feng, Lifeng
    Zhang, Zheyu
    SMART MATERIALS AND STRUCTURES, 2018, 27 (11)
  • [37] Theoretical and experimental study on FBG bending sensor for quantitative monitoring of bolt looseness
    Deng, Shaohua
    Wang, Tao
    Tan, Bohai
    Lu, Guangtao
    MEASUREMENT, 2023, 216
  • [38] Bolt looseness monitoring using dynamic mode decomposition with piezoelectric active sensing
    Tan, Bohai
    Wang, Tao
    Fang, Qian
    Yang, Dan
    Wang, Hu
    Lu, Guangtao
    MEASUREMENT, 2024, 238
  • [39] Bolt looseness detection using Spectral Kurtosis analysis for structural health monitoring
    Ho, S. K.
    Nedunuri, H. C.
    Balachandran, W.
    Gan, T. H.
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2020) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2020), 2020, : 1215 - 1221
  • [40] Experimental study on monitoring the bolt group looseness in a clamping support structure model
    Dong, Guangming
    Zhao, Fagang
    Zhang, Xiaoke
    ADVANCES IN MECHANICAL ENGINEERING, 2017, 9 (03)