The Cross-Scale Life Prediction for the High-Speed Train Gearbox Shell Based on the Three-Interval Method

被引:2
|
作者
Ai, Yibo [1 ,2 ]
Ma, Haonan [1 ]
Qu, Xu [1 ]
Qian, Yuhan [3 ]
Liu, Yue [4 ,5 ]
Zhang, Weidong [1 ,2 ]
机构
[1] Univ Sci & Technol Beijing, Natl Ctr Mat Serv Safety, Beijing, Peoples R China
[2] Southern Marine Sci & Engn Guangdong Lab, Innovat Grp Marine Engn Mat & Corros Control, Zhuhai, Peoples R China
[3] Aerosp Times FeiHong Technol Co Ltd, Beijing, Peoples R China
[4] Changchun Univ Technol, Coll Elect & Elect Engn, Changchun, Jilin, Peoples R China
[5] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Peoples R China
关键词
RELIABILITY ASSESSMENT; FATIGUE; DYNAMICS; SYSTEM;
D O I
10.1155/2022/6439229
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The gearbox shell is a key component of class A of high-speed trains. In engineering applications, the fatigue life prediction of the gearbox shell is a critical issue to be addressed. It is not feasible to obtain fatigue life results for the gearbox shell experimentally because of its long design life, lack of actual failure data, complex structure, high test cost, and material dispersion. Therefore, the cross-scale method was introduced to accurately predict the fatigue life of the gearbox shell. In this study, the entire gearbox shell is divided into two scales of "material structure." Firstly, the S-N curve is plotted within the material layer, based on the data from the rotating bending fatigue test. Secondly, the finite element model of the gearbox shell is established within the structural layer via the simulation platform. The characteristics and random vibration of the established model are analyzed and presented. Additionally, the first ten-order frequency of modal analysis and power spectral density responses of the gearbox are obtained. The fatigue life of the gearbox shell and the safe running distance of the train are calculated by using the three-interval method and the linear cumulative damage rule, respectively, by combining the fatigue analysis from the material layer with the simulation analysis from the structure layer. Finally, to illustrate the application of the proposed method, a group of small-scale test examples is provided. The proposed method can be used in fatigue life prediction more effectively than the single finite element simulation method.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Fatigue life prediction of high-speed train bearings based on the generalized linear cumulative damage theory
    Li, He-Fei
    Wei, Jia-Liang
    Li, Shao-Hua
    Liu, Yong-Qiang
    Gu, Xiao-Hui
    Liu, Ze-Chao
    Yang, Shao-Pu
    FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2023, 46 (06) : 2112 - 2120
  • [22] Prediction of High-speed Train Vibratory Stability Via Pseudo Excitation Method
    Wu, Zhaozhi
    Zhang, Nan
    Yao, Jinbao
    Poliakov, Vladimir
    2023 PROGNOSTICS AND HEALTH MANAGEMENT CONFERENCE, PHM, 2023, : 330 - 335
  • [23] A study on the airtightness of a high-speed train using a reduced-scale method
    Xia, Yutao
    Chen, Xiaodong
    Liu, Tanghong
    Zhou, Miaomiao
    Gao, Hongrui
    MEASUREMENT, 2022, 188
  • [24] High-speed train gearbox housing vibration test based on small roller high-frequency excitation
    Zhu H.-Y.
    Wang C.-W.
    Wu P.-B.
    Zeng J.
    Xiao Q.
    Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering, 2020, 20 (05): : 135 - 150
  • [25] Fatigue Life Calculation Method for Axle Box Bearing of High-speed Train
    Li Z.
    Shang H.
    Zhang X.
    Sun W.
    Tiedao Xuebao/Journal of the China Railway Society, 2020, 42 (03): : 55 - 62
  • [26] Scale optimization method of train working diagram for High-Speed railway based on data mining theory
    Wang Z.
    Advances in Transportation Studies, 2017, 1 (Special Issue): : 85 - 92
  • [27] High-Speed Train Platoon Dynamic Interval Optimization Based on Resilience Adjustment Strategy
    Wei Shangguan
    Luo, Rui
    Song, Hongyu
    Sun, Jing
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (05) : 4402 - 4414
  • [28] Fatigue life prediction of electromagnetic brake connection device in high-speed maglev train
    Ke L.
    Li W.
    He G.
    Lin G.
    Journal Europeen des Systemes Automatises, 2020, 53 (03): : 403 - 409
  • [29] Knowledge Fusion Method of High-Speed Train Based on Knowledge Graph
    Wang, Shuying
    Li, Xue
    Li, Rong
    Zhang, Haizhu
    Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2024, 59 (05): : 1194 - 1203
  • [30] Prediction and Control of WheelWear of a High-Speed Train Based on Measured Data and Simulation
    Ding, Xin
    Khoramzad, Elham
    Giossi, Rocco
    Nia, Saeed Hossein
    Netter, Helmut
    Chen, Gang
    Liu, Zhendong
    Stichel, Sebastian
    ADVANCES IN DYNAMICS OF VEHICLES ON ROADS AND TRACKS III, VOL 1, IAVSD 2023, 2025, : 589 - 596