A fatigue life prediction method was introduced. The method was based on the combination of time domain and frequency domain method. Dynamic model of a complete railway locomotive system was established using SIMPACK software. The dynamic load histories acting on the bogie frame can be obtained by the Multi-Body System (MBS) analysis technique with time integration. FEM model of the bogie frame was established by applying ANSYS software. The natural frequencies and mode shapes of the frame were calculated and the dangerous nodes in the critical location were determined using the modal analysis technique. The stresses in dangerous nodes were calculated with the quasi-static stress/strain technology. PSD of the stresses was generated using the Fast Fourier Transformation (FFT). Fatigue life of the bogie frame was evaluated with the Dirlik’s formulation. Results showed that the calculated life of the analyzed bogie frame could meet the design requirement.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fatigue Life Prediction of a Railway Bogie Frame



    Published in:

    Publication date :

    2008-06-12


    Size :

    6 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Railway vehicle bogie frame and bogie

    HE XING / LI GUANJUN / LIU YULONG et al. | European Patent Office | 2022

    Free access

    Railway vehicle bogie frame, bogie and railway vehicle

    CAO QINGDA / LIANG HAIXIAO / ZHANG ZHENXIAN et al. | European Patent Office | 2023

    Free access

    Railway vehicle bogie frame, bogie and railway vehicle

    CAO QINGDA / LIANG HAIXIAO / FENG YONGHUA et al. | European Patent Office | 2023

    Free access

    Railway vehicle bogie frame, bogie and railway vehicle

    CAO QINGDA / LIANG HAIXIAO / ZHANG ZHENXIAN et al. | European Patent Office | 2023

    Free access

    RAILWAY VEHICLE BOGIE FRAME

    KOUNOIKE FUMIKAZU / MATSUSHITA YOSUKE / TAMURA YOSHIHIRO et al. | European Patent Office | 2019

    Free access