Fatigue analysis of the gearbox housing in high-speed trains under wheel polygonization using a multibody dynamics algorithm

被引:66
|
作者
Wu, Hao [1 ,2 ]
Wu, Pingbo [1 ]
Li, Fansong [1 ]
Shi, Huailong [1 ]
Xu, Kai [3 ]
机构
[1] Southwest Jiaotong Univ, State Key Lab Tract Power, Chengdu, Sichuan, Peoples R China
[2] Univ Illinois, Mech Sci & Engn, Champaign, IL USA
[3] Southwest Jiaotong Univ, Sch Mech Engn, Chengdu, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Wheel polygonization; Vehicle dynamics; Gearbox housing; Fatigue; Kernel density; POLYGONAL WEAR; RECONSTRUCTION;
D O I
10.1016/j.engfailanal.2019.02.058
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
To examine the effect of the wheel polygonization on the fatigue of the wheelset-mounted gearbox housing of a high-speed train, a three-dimensional multibody system (MBS) railway vehicle model, which accounts for the flexibilities of gearbox housing and wheelset and the nonlinear wheel-rail contact, is established to perform the finite element and multibody dynamics analysis simultaneously. Field measurements on the wheel wear, within a total running distance of 140,000 km, were conducted to state the evolution of polygonal wear with a dominant order of 20 on the wheel. Then this uneven wear on the wheel is treated as excitations in the wheel-rail interaction, followed by numerical analysis on the dynamics stress distribution on the gearbox housing under the effect of a variable amplitude of polygonal wear on the wheel. It shows that the stress distribution on the gearbox housing is significantly affected by the deformation of the wheelset. Furtherly, the Kernel density estimation (KDE) method is employed to extrapolating the dynamic stress on the gearbox to obtain the stress with a total running distance of 140,000 km, then its fatigue damage is estimated. Comparative analysis in the fatigue damage of gearbox housing with or without the wheel polygonization states that the fatigue damage with a 20th order polygonal wear is 63% larger than that without the polygonal wear on the wheel.
引用
收藏
页码:351 / 364
页数:14
相关论文
共 50 条
  • [31] Numerical simulation-based ride comfort analysis of the high-speed train using multibody dynamics
    Padhi, Sumeet
    Patel, Yamika
    Kumar, Harsh
    Rastogi, Vikas
    INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS, 2022, 29 (05) : 441 - 462
  • [32] Analysis of vertical dynamic wheel/rail interaction caused by polygonal wheels on high-speed trains
    Liu, Xiaoyuan
    Zhai, Wanming
    WEAR, 2014, 314 (1-2) : 282 - 290
  • [33] Analysis of the axial load of bolts of wheel-mounted brake discs of high-speed trains
    Qu, Junsheng
    Wang, Wenjing
    Wang, Binjie
    Li, Guoshun
    Jiao, Biaoqiang
    ENGINEERING FAILURE ANALYSIS, 2022, 137
  • [34] Effect of high-speed trains passing each other on wheel wear under different track excitations
    Ma, Chaochao
    Zhu, Aihua
    Zhang, Fan
    Yang, Jianwei
    Sun, Peiwen
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT, 2023, 237 (04) : 470 - 478
  • [35] Neuro-Adaptive Control of High-Speed Trains under Uncertain Wheel-Rail Relationship
    Wang, Zhechen
    Jia, Yingmin
    PROCEEDINGS OF THE 2020 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS (ICAROB2020), 2020, : 706 - 711
  • [36] An improved algorithm for fluid-structure interaction of high-speed trains under crosswind
    Li, Tian
    Zhang, Jiye
    Zhang, Weihua
    JOURNAL OF MODERN TRANSPORTATION, 2011, 19 (02): : 75 - 81
  • [37] An improved algorithm for fluid-structure interaction of high-speed trains under crosswind
    Tian Li
    Jiye Zhang
    Weihua Zhang
    Journal of Modern Transportation, 2011, 19 (2): : 75 - 81
  • [38] Wheel wear analysis of high-speed EMU under bogie hunting
    Qi Y.
    Dai H.
    Wu H.
    Yang Z.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2023, 42 (07): : 38 - 45+76
  • [39] Fatigue damage analysis of high-speed railway gearbox metal materials based on acoustic emission
    Ai Y.
    Geng M.
    Lü T.
    Zhang W.
    Journal of Railway Science and Engineering, 2023, 20 (02) : 423 - 431
  • [40] Analysis of human body vibration response on high-speed trains under crosswinds
    Zhang, Zongfa
    Xiao, Xinbiao
    Xu, Hanwen
    Jin, Xuesong
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2025, 223