Research on determining the ultrasonic inspection interval of railway hollow axles based on service dynamic stress and accurate probability of detection on cracks

被引:0
作者
Su, Ning [1 ]
Wang, Wenjing [1 ]
Zeng, Yiming [1 ]
Chen, Liang [2 ]
Zheng, Jing [3 ]
Huo, Fengfeng [4 ]
Wang, Binjie [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Mech Elect & Control Engn, Beijing 100044, Peoples R China
[2] CRRC Changchun Railway Vehicles Co Ltd, Changchun 130062, Peoples R China
[3] CRRC Qingdao Sifang Locomot Vehicle Co Ltd, Qingdao 266111, Peoples R China
[4] ZhiQi Railway Equipment Co Ltd, Taiyuan 030032, Peoples R China
基金
中国国家自然科学基金;
关键词
Railway hollow axle; Dynamic stress testing; Fatigue crack propagation; Probability of detection; Ultrasonic inspection interval; FATIGUE LIFETIME ESTIMATION; DAMAGE; GROWTH;
D O I
10.1016/j.engfailanal.2024.109255
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The implementation of recurrent ultrasonic inspections serves to guarantee the safety and quality of hollow axles in high-speed trains. Nevertheless, there is an urgent requirement to optimize the existing empirical-based inspection intervals. This paper, based on the principle of damage tolerance, puts forward a comprehensive and scientifically rigorous approach to determine the optimal ultrasonic inspection interval for railway hollow axles. In this study, a remaining life analysis model for axles with cracks was developed with the integration of the factors of crack propagation properties of the axle material, service stress spectrum in critical sections of axles, and the press fit effect of wheel and axle assembly. By integrating the remaining life of the axle with the probability of detection (POD) curves obtained from experimental ultrasonic testing equipment, a comprehensive methodology for determining the optimal ultrasonic inspection interval for railway hollow axles was established. This research provides support for optimizing the ultrasonic inspection intervals of high-speed train axles.
引用
收藏
页数:15
相关论文
共 34 条
  • [1] [Anonymous], 2017, ASTM E399
  • [2] [Anonymous], 2015, ASTM E647-15
  • [3] [Anonymous], 2017, EN 13103-1
  • [4] Application of fatigue crack growth algorithms to railway axles and comparison of two steel grades
    Beretta, S
    Carboni, M
    Cantini, S
    Ghidini, A
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT, 2004, 218 (04) : 317 - 326
  • [5] Design review of a freight railway axle: fatigue damage versus damage tolerance
    Beretta, S.
    Carboni, M.
    Cervello, S.
    [J]. MATERIALWISSENSCHAFT UND WERKSTOFFTECHNIK, 2011, 42 (12) : 1099 - 1104
  • [6] Variable amplitude fatigue crack growth in a mild steel for railway axles: Experiments and predictive models
    Beretta, S.
    Carboni, M.
    [J]. ENGINEERING FRACTURE MECHANICS, 2011, 78 (05) : 848 - 862
  • [7] Corrosion-fatigue of A1N railway axle steel exposed to rainwater
    Beretta, S.
    Carboni, M.
    Fiore, G.
    Lo Conte, A.
    [J]. INTERNATIONAL JOURNAL OF FATIGUE, 2010, 32 (06) : 952 - 961
  • [8] DGS diagrams used for tuning the sensitivity of the echo-pulse method of ultrasonic testing of railway rolling stock's wheel-pair axles
    Danilov, V. N.
    Samokhvalov, V. N.
    [J]. RUSSIAN JOURNAL OF NONDESTRUCTIVE TESTING, 2006, 42 (04) : 219 - 226
  • [9] Fatigue strength assessment of railway axles considering small-scale tests and damage calculations
    Filippini, M.
    Luke, M.
    Varfolomeev, I.
    Regazzi, D.
    Beretta, S.
    [J]. ESIS TC24 WORKSHOP - INTEGRITY OF RAILWAY STRUCTURES, 2017, 4 : 11 - 18
  • [10] Fatigue and damage tolerance assessment of induction hardened S38C axles under different foreign objects
    Gao, Jie-Wei
    Yu, Ming -Hua
    Liao, Ding
    Zhu, Shun-Peng
    Han, Jing
    Lesiuk, Grzegorz
    Correia, Jose A. F. O.
    De Jesus, Abilio M. P.
    [J]. INTERNATIONAL JOURNAL OF FATIGUE, 2021, 149