Detection of speed and axle configuration of moving vehicles using acoustic emission

被引:7
|
作者
Algohi, B. [1 ]
Mufti, A. [1 ]
Thomson, D. [1 ]
机构
[1] Univ Manitoba, Struct Innovat & Monitoring Technol Resource Ctr, Winnipeg, MB, Canada
关键词
BWIM; Acoustic; Axle detection; PTH23; Bridge; Signal processing; Vehicle velocity; IDENTIFICATION;
D O I
10.1007/s13349-018-0281-8
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Axle detection is a critical monitoring process that needs to be implemented on bridges so that the number of axles of crossing vehicles can be determined. Most bridge design codes specify bridge design loads based on certain trucks configurations. Reviewing and updating bridge design codes depend on an accurate measurement of the nature of the loads being transported across bridges. Measurement of axle loads and configuration of trucks is also essential for bridge load regulation and enforcement. In this paper, a new method is proposed for the accurate detection of velocity, number of axles, and configuration of moving vehicles on bridges. The proposed method uses the acoustic signals emitted when the tires of moving vehicles hit bridge expansion joints and was tested on a bridge in Morris, Manitoba, Canada. It was discovered that the proposed method accurately predicts the velocity, number of axles, and configuration of moving vehicles on bridges.
引用
收藏
页码:353 / 362
页数:10
相关论文
共 50 条
  • [31] Automatic detection of scuffing using acoustic emission
    Saeidi, F.
    Shevchik, S. A.
    Wasmer, K.
    TRIBOLOGY INTERNATIONAL, 2016, 94 : 112 - 117
  • [32] Auto Detection Of Joints And Axle Failure In Heavy Load Vehicles Using Artificial Intelligence
    Sivasankari, B.
    Kumar, V. Akash
    Elavenil, M.
    Gomathi, A. R.
    2019 5TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION SYSTEMS (ICACCS), 2019, : 452 - 456
  • [33] Audio detection of moving vehicles
    Brockmann, EM
    Kwan, BW
    Tung, LJ
    SMC '97 CONFERENCE PROCEEDINGS - 1997 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: CONFERENCE THEME: COMPUTATIONAL CYBERNETICS AND SIMULATION, 1997, : 3817 - 3821
  • [34] Wayside detection of faults in railway axle bearings using time spectral kurtosis analysis on high-frequency acoustic emission signals
    Amini, Arash
    Entezami, Mani
    Huang, Zheng
    Rowshandel, Hamed
    Papaelias, Mayorkinos
    ADVANCES IN MECHANICAL ENGINEERING, 2016, 8 (11) : 1 - 9
  • [35] Vibration Performance of High-speed Vehicles with Axle Box Bearing
    Cha H.
    Ren Z.
    Xu N.
    Cha, Hao (14116362@bjtu.edu.cn), 2018, Chinese Mechanical Engineering Society (54): : 144 - 151
  • [36] Acoustic Emission Detection of Particle Movement in a Cross-Flow Moving Bed
    Jiang, Yuntao
    Ren, Conjing
    Huang, Zhengliang
    Wang, Jingdai
    Jiang, Binbo
    Yang, Jian
    Yang, Yongrong
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2014, 53 (10) : 4075 - 4083
  • [37] Sailing resistance reduction and speed raising for amphibious vehicles using novel configuration
    Xu H.
    Xu X.
    Xu L.
    Liu B.
    Zhongguo Kexue Jishu Kexue/Scientia Sinica Technologica, 2023, 53 (08): : 1272 - 1283
  • [38] ILL-conditioning study on identification of dynamic axle loads of moving vehicles
    Yu, L.
    Chen, Z.
    STRUCTURAL CONDITION ASSESSMENT, MONITORING AND IMPROVEMENT, VOLS 1 AND 2, 2007, : 1342 - 1348
  • [39] Detection and Location of Impact Damage using Acoustic Emission
    Eaton, Mark
    Pearson, Matthew
    Holford, Karen
    Featherston, Carol
    Pullin, Rhys
    ACMTAA 2012: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON ADVANCED COMPOSITE MATERIALS AND TECHNOLOGIES FOR AEROSPACE APPLICATIONS, 2012, : 29 - 33
  • [40] Detection of faults in gearboxes using acoustic emission signal
    DongSik Gu
    JaeGu kim
    YoungSu An
    ByeongKeun Choi
    Journal of Mechanical Science and Technology, 2011, 25 : 1279 - 1286