Performance assessment of railway multispan steel truss bridge bearing by thermal excitation

被引:0
|
作者
Naijie Han
Weigang Zhao
Bo Zhang
Hao Zhang
Liming Zhou
机构
[1] Shijiazhuang Tie Dao University,School of Civil Engineering
[2] The Key Laboratory for Health Monitoring and Control of Large Structures of Hebei Province,School of Civil Engineering
[3] Structure Health Monitoring and Control Institute of HeBei Province,State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures
[4] Beijing Jiaotong University,undefined
[5] Shijiazhuang Tiedao University,undefined
关键词
Steel truss bridge; Temperature gradient; Bearing friction; Bearing longitudinal displacement; Bearing working performance;
D O I
暂无
中图分类号
学科分类号
摘要
The performance of bridge expansion devices (e.g., bearings or expansion joints)is a major concern for the operation department. A mechanical analysis model can be used to accurately analyze the influence mechanism of major factors and evaluate the working performance of bridge expansion devices with structural health monitoring data. Considering the nonlinear characteristics of bearing friction, a friction hysteresis model was established in this study to analyze the behavior of the bearing longitudinal displacement (BLD) under thermal excitation. The friction hysteresis model can describe the motion path of the BLD under periodic temperature. The variation in the model parameter is defined as an evaluation index that can reflect the degradation in the working performance of the bearing. The periodic change in the temperature is the driving force for developing the friction hysteresis model, and the calculation of the temperature-induced BLD is critical in extracting the evaluation index. Therefore, a calculation formula for the BLD of the steel truss bearing was derived considering the temperature gradient. Finally, the application of this method was verified through the temperature and BLD monitoring data of a multispan continuous steel truss arch bridge. The results showed that the evaluation index variance can describe the maximum bearing friction increase. However, the proposed approach is primarily based on thermal excitation, because of which it cannot assess the bearing working performance if the uncertainty in the friction hysteresis model is introduced by other types of excitations (e.g., vehicle excitation).
引用
收藏
页码:163 / 178
页数:15
相关论文
共 50 条
  • [21] Dynamic performance analysis of steel truss bridge
    Wang, Shanshan
    Xu, Tao
    Qin, Sifeng
    Zhang, Yunjie
    APPLIED MATERIALS AND TECHNOLOGIES FOR MODERN MANUFACTURING, PTS 1-4, 2013, 423-426 : 1548 - 1551
  • [22] ASSESSMENT OF THE LOAD-BEARING CAPACITY OF THE OLD RAILWAY BRIDGE WITH ENCASED STEEL BEAMS
    Bilko, Piotr
    Sawczynski, Szymon
    CIVIL AND ENVIRONMENTAL ENGINEERING REPORTS, 2024, 34 (04) : 372 - 380
  • [23] Study on strain characteristic function for performance evaluation of high-speed railway steel truss bridge
    Wang, Wenzhao
    Dan, Danhui
    Jian, Fangliang
    STRUCTURES, 2023, 55 : 441 - 452
  • [24] Rehabilitation and condition assessment of a centenary steel truss bridge
    Costa, Bruno J. A.
    Figueiras, J. A.
    JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH, 2013, 89 : 185 - 197
  • [25] Analysis on Stability and Ultimate Bearing Capacity of Steel Truss Arch Bridge
    Liu Yang
    Wang Xing Rui
    Yang Gang
    Zhang Aifeng
    SUSTAINABLE ENVIRONMENT AND TRANSPORTATION, PTS 1-4, 2012, 178-181 : 2299 - +
  • [26] Field Testing of Old Narrow-Gauge Railway Steel Truss Bridge
    Bacinskas, Darius
    Kamaitis, Zenonas
    Jatulis, Donatas
    Kilikevicius, Arturas
    MODERN BUILDING MATERIALS, STRUCTURES AND TECHNIQUES, 2013, 57 : 136 - 143
  • [27] Case Study of the 156 m Simply Supported Steel Truss Railway Bridge
    Yu, Xiangdong
    Deng, Yongle
    Yan, Bin
    STRUCTURAL ENGINEERING INTERNATIONAL, 2017, 27 (04) : 563 - 568
  • [28] Adaptability of Composite Material Sleeper for Heavy Railway Steel Truss Girder Bridge
    Zhang Q.
    Meng X.
    Ling L.
    Gao M.
    Yu M.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2019, 55 (08): : 145 - 153
  • [29] Failure Analysis of High-Strength Bolts in a Railway Steel Truss Bridge
    Tian, Linan
    Zhang, Mingwei
    Lei, Taian
    Zhang, Qinran
    Ding, Ning
    Liu, Guoqiang
    Liu, Long
    Xu, Huixia
    Hou, Nan
    JOURNAL OF FAILURE ANALYSIS AND PREVENTION, 2025, : 429 - 435
  • [30] 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