A Spline Method based on the Crack Induced Deflection for Bridge Damage Detection

被引:10
|
作者
Mousavi, Mohsen [1 ,2 ]
Holloway, Damien [1 ]
Olivier, J. C. [1 ]
Gandomi, Amir H. [2 ]
机构
[1] Univ Tasmania, Sch Engn, Hobart, Tas 7005, Australia
[2] Univ Technol Sydney, Fac Engn & IT, Ultimo, NSW 2007, Australia
关键词
Vehicle bridge interaction; Moving mass; Vibration; Damage detection; Crack induced deflection; Cubic spline; EMPIRICAL MODE DECOMPOSITION; MOVING LOAD; ACCELERATION RESPONSE; IDENTIFICATION; VEHICLE; SYSTEM; TRANSFORM; ALGORITHM; FUSION; BEAMS;
D O I
10.1016/j.advengsoft.2020.102894
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper proposes a novel method for damage detection on a simply supported beam subjected to a moving mass using multiple vibration data measured from a vehicle-bridge interaction (VBI) model. It is shown first that the integral of the difference between the deflection time history of the healthy and damaged beam reaches a local maximum at the location of the crack. As such, the integral of the difference between the vibration time history of the healthy and damaged beam at some dense points on the beam is required. However, practically the number of measured points is limited. Therefore, the data from VBI measured at a limited set of points have been interpolated at each time instant to estimate the deflection of other locations on the beam. It has been demonstrated through several simulations that the proposed method can detect both the location and severity of damage on the beam while considering the interaction between the moving mass and the bridge, as well as the effect of road roughness. It is also shown that the proposed method is fairly robust to noise in both damage localisation and quantification.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] A method of underwater bridge structure damage detection method based on a lightweight deep convolutional network
    Li, Xiaofei
    Sun, Heming
    Song, Taiyi
    Zhang, Tian
    Meng, Qinghang
    IET IMAGE PROCESSING, 2022, 16 (14) : 3893 - 3909
  • [32] Identification of cable damage for cable-stayed bridge based on temperature deflection
    Tan D.
    Yao H.
    Chen F.
    Wu H.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2021, 40 (23): : 166 - 174
  • [33] Bridge Dynamic Deflection and Damage Analysis Based on Transfer Matrix of Multibody System
    Jianpeng Sun
    Yingbiao Jiang
    International Journal of Steel Structures, 2023, 23 : 709 - 718
  • [34] Crack luminescence as an innovative method for detection of fatigue damage
    Makris, Ruben
    Hille, Falk
    Thiele, Marc
    Kirschberger, Dirk
    Sowietzki, Damian
    JOURNAL OF SENSORS AND SENSOR SYSTEMS, 2018, 7 (01) : 259 - 266
  • [35] Bridge Dynamic Deflection and Damage Analysis Based on Transfer Matrix of Multibody System
    Sun, Jianpeng
    Jiang, Yingbiao
    INTERNATIONAL JOURNAL OF STEEL STRUCTURES, 2023, 23 (03) : 709 - 718
  • [36] Railway simply supported steel truss bridge damage identification based on deflection
    Ren, Jian-Ying
    Su, Mu-Biao
    Zeng, Qing-Yuan
    Information Technology Journal, 2013, 12 (17) : 3946 - 3951
  • [37] Damage Detection of Bridge Structure Based on SVM
    Yao, Jinbao
    Chen, Jinsong
    Wang, Wensi
    Ye, Ting
    Wang, Lu
    Yu, Lan
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 2013
  • [38] Improved Vehicle Scanning Method for Bridge Damage Detection
    Yang, D. S.
    Wang, C. M.
    Duan, W. H.
    PROCEEDINGS OF THE 17TH EAST ASIAN-PACIFIC CONFERENCE ON STRUCTURAL ENGINEERING AND CONSTRUCTION, EASEC-17 2022, 2023, 302 : 426 - 436
  • [39] A New Damage Detection Method for Bridge Condition Assessment
    Miyamoto, A.
    Yan, Z. H.
    PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY, 2010, 93
  • [40] Crack identification method for bridge based on BCEM model
    Zhang Z.-H.
    Ji K.
    Dang J.-W.
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2023, 53 (05): : 1418 - 1426