Research on track damage identification based on the response of vehicle-rail contact point

被引:0
|
作者
Xiang C. [1 ]
Li Z. [1 ]
Qi X. [2 ]
Cao S. [2 ]
Liu H. [1 ]
机构
[1] School of Civil Engineering, Lanzhou University of Technology, Lanzhou
[2] School of Traffic Engineering, Shandong Jianzhu University, Jinan
来源
基金
中国国家自然科学基金;
关键词
Contact point response; Damage identification; Driving frequency; IAS; Railway track;
D O I
10.1016/j.treng.2022.100149
中图分类号
学科分类号
摘要
In this paper, spring element is used to simulate the vertical support of ballast and sleepers to the rail, which is called “elastic support”. Low-pass filtering technology was adopted to extract the response of the driving frequency component in acceleration signal of the contact point between vehicle and rail, and Hilbert transform was carried out on it to obtain instantaneous amplitude squared (IAS) information to judge the damage of rail and elastic supports through the peak values in the IAS identification diagram. Based on this principle, the crack damage of rail and stiffness damage of elastic support are studied, the applicability of IAS method for the rail and elastic support under different damage degrees and damage amounts is analyzed, and the influence of parameters such as vehicle speed, vehicle damping ratio, vehicle mass and frequency, track damping and rail irregularity on IAS damage location method is discussed. The results show that the IAS method can accurately identify the damage of elastic support and rail under different damage locations and different damage degrees. Under proper vehicle speed, the IAS method can accurately locate the damage; The influence of vehicle frequency on damage identification results is small. With the increase of vehicle damping ratio, the amplitude of IAS results decreases, while track damping has almost no effect on damage identification. Due to the existence of track irregularity, the damage signal collected by test vehicle may be covered by irregularity, and the interference of track irregularity can be reduced by increasing the mass of test vehicle. © 2022 The Author(s)
引用
收藏
相关论文
共 50 条
  • [41] Investigation on rail corrugation formation and consequential track impact response using vehicle-track interaction modelling
    Sun, Yan Quan
    Simson, Scott
    Cole, Colin
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND MECHANICS 2007, VOLS 1 AND 2, 2007, : 2237 - 2243
  • [42] Dynamic Response of a Coupled Vehicle-Track System to Real Longitudinal Rail Profiles
    Vale, C.
    Calcada, R.
    PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY, 2010, 93
  • [43] Research on wheel/rail contact surface temperature and damage characteristics during sliding contact of a wheel
    Wei, Yunpeng
    Han, Jihao
    Yang, Tao
    Wu, Yaping
    Chen, Zhidong
    Journal of Engineering and Applied Science, 2024, 71 (01):
  • [44] Analytical model of wheel-rail contact force due to the passage of a railway vehicle on a curved track
    Otero Yugat, Jesus
    Martinez Miralles, Jordi
    De los Santos, Maria
    REVISTA FACULTAD DE INGENIERIA-UNIVERSIDAD DE ANTIOQUIA, 2009, (50): : 135 - 144
  • [45] Research on dynamic response of coupled model between vehicle and track for LIM track transportation
    School of Civil Engineering and Architecture, Beijing Jiaotong University, Beijing 100044, China
    Tiedao Xuebao, 2006, 5 (129-133):
  • [46] Railway Track Detection Based on Vehicle Laser Point Cloud
    Li Weigang
    Mei Yang
    Fan Xiang
    Zhao Yuntao
    CHINESE JOURNAL OF LASERS-ZHONGGUO JIGUANG, 2022, 49 (04):
  • [47] STRUCTURAL DAMAGE IDENTIFICATION FOR RAILWAY BASED ON TRAIN-INDUCED RAIL DYNAMIC RESPONSE SENSITIVITY
    Ye, Ling
    Zhu, Hongping
    Weng, Shun
    Gao, Fei
    Zhou, Fangyuan
    Fundamental Research in Structural Engineering: Retrospective and Prospective, Vols 1 and 2, 2016, : 907 - 913
  • [48] Bridge damage identification by dynamic response of passing vehicle
    Wang, Shu-Dong
    Bu, Jian-Qing
    Lou, Guo-Chong
    Chang'an Daxue Xuebao (Ziran Kexue Ban)/Journal of Chang'an University (Natural Science Edition), 2008, 28 (03): : 63 - 67
  • [49] MUHAFIZ: IoT-Based Track Recording Vehicle for the Damage Analysis of the Railway Track
    Shah, Ali Akbar
    Bhatti, Naveed Anwar
    Dev, Kapal
    Chowdhry, Bhawani Shankar
    IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (11) : 9397 - 9406
  • [50] Damage Detection of Rail Fastening System Through Deep Learning and Vehicle-Track Coupled Dynamics
    Yuan, Zhandong
    Zhu, Shengyang
    Zhai, Wanming
    ADVANCES IN DYNAMICS OF VEHICLES ON ROADS AND TRACKS, IAVSD 2019, 2020, : 148 - 153