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
  • [41] VIBRO-ACOUSTIC ANALYSIS OF HIGH-SPEED TRAINS UNDER AERODYNAMIC PRESSURE
    Yang, Xiongwei
    Xu, Kai
    Che, Ailan
    Li, Yueming
    PROCEEDINGS OF THE 22ND INTERNATIONAL CONGRESS ON SOUND AND VIBRATION: MAJOR CHALLENGES IN ACOUSTICS, NOISE AND VIBRATION RESEARCH, 2015, 2015,
  • [42] Delay Bound Analysis Using Martingale for Multimedia DTN under Heterogeneous Network for High-Speed Trains
    Hu, Yun
    Li, Hongyan
    Han, Zhu
    2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,
  • [43] Dynamic response analysis of gearbox housing system subjected to internal and external excitation in high-speed train
    Huang, Guanhua
    Wang, Xingyu
    Mei, Guiming
    Zhang, Weihua
    Liang, Shulin
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2015, 51 (12): : 95 - 100
  • [44] Dynamic Response and Fatigue Analysis of Wheel/rail in the Weld Zone of High-speed Railway
    Lin, Fengtao
    Zhang, Zihao
    Weng, Taotao
    Fang, Qin
    Jia, Zhe
    Chen, Wu
    Huang, Jinxia
    Journal of Railway Engineering Society, 2023, 40 (09) : 23 - 32
  • [45] DYNAMIC ANALYSIS OF HIGH-SPEED ROTATING SHAFTS USING THE FLEXIBLE MULTIBODY APPROACH
    Hurskainen, Vesa-Ville
    Bozorgmehri, Babak
    Matikainen, Marko K.
    Mikkola, Aki
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2018, VOL 6, 2018,
  • [46] Adaptive Terminal Sliding Mode Control for High-Speed Train Using Multibody Dynamics Model under Boundary Constraint
    Guo, Youxing
    Sun, Pengfei
    Wang, Qingyuan
    Li, Zhi
    2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC, 2023, : 73 - 78
  • [47] An algorithm for dynamic vehicle-track-structure interaction analysis for high-speed trains
    Fedorova, Maria
    Sivaselvan, M. V.
    ENGINEERING STRUCTURES, 2017, 148 : 857 - 877
  • [48] DYNAMICS AND PROBABILISTIC FATIGUE ANALYSIS SCHEMES FOR HIGH-SPEED PRESS MACHINES
    LEE, HJ
    COMPUTERS & STRUCTURES, 1994, 50 (01) : 11 - 19
  • [49] Wheel condition assessment of high-speed trains under various operational conditions using semi-supervised adversarial domain adaptation
    Chen, Si-Xin
    Zhou, Lu
    Ni, Yi-Qing
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022, 170
  • [50] Disturbance Observer-Based Tracking Control of High-Speed Trains Under Adhesion Dynamics
    Yao, Xiuming
    Zhao, Boyang
    Li, Shaohua
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 21 (02) : 1727 - 1739