Volume 25 Issue 4
Aug.  2025
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2025  >  25(4): 148-160
Next Previous
NIU Liu-bin, WU Ning, JIANG Shu-guang. Quantitative method and application of corrugation intervention degree based on wheel-rail vertical force[J]. Journal of Traffic and Transportation Engineering, 2025, 25(4): 148-160. doi: 10.19818/j.cnki.1671-1637.2025.04.011
Citation: NIU Liu-bin, WU Ning, JIANG Shu-guang. Quantitative method and application of corrugation intervention degree based on wheel-rail vertical force[J]. Journal of Traffic and Transportation Engineering, 2025, 25(4): 148-160. doi: 10.19818/j.cnki.1671-1637.2025.04.011
shu

Quantitative method and application of corrugation intervention degree based on wheel-rail vertical force

doi: 10.19818/j.cnki.1671-1637.2025.04.011
  • 1.

    Infrastructure Inspection Research Institute, China Academy of Railway Sciences Co., Ltd., Beijing 100081, China

  • 2.

    Locomotive and Rolling Stock Research Institute, China Academy of Railway Sciences Co., Ltd., Beijing 100081, China

Funds:

National Key R&D Program of China 2022YFB2602900

Research Project of China Academy of Railway Sciences Group Co., Ltd. 2023YJ038

Research Project of China Academy of Railway Sciences Group Co., Ltd. 2023YJ299

More Information
  • Corresponding author: NIU Liu-bin (1980-), male, senior engineer, nlb@rails.cn
  • Received Date: 2024-03-11
  • Accepted Date: 2025-03-29
  • Rev Recd Date: 2024-11-19
  • Publish Date: 2025-08-28
    Abstract
  • To obtain the mapping relationship between the intervention degree to be ground for rail corrugation and the wheel-rail vertical force, a wheel-rail dynamics model was built based on the suspension parameters of typical high-speed railways and service vehicles in China. The rail surface irregularity of the corrugation section was finely constructed, with the effects of random short-wave irregularities and wheel out-of-roundness considered. The numerical calculation accuracy of the wheel-rail dynamics model was verified by measured wheel-rail vertical force in corrugation sections of high-speed railways. The wheel-rail vertical forces excited by rail corrugation under four wavelength conditions at 300 km·h-1 were simulated. The time-frequency domain distribution characteristics were analyzed. The variation of wheel-rail vertical force with valley depth under different wavelengths was analyzed. The inadaptability of the wheel-rail vertical force evaluation index was revealed when the excitation characteristics of corrugation were not considered. The mapping relationships between wheel-rail vertical force and corrugation with wavelength within 40-300 mm were fitted under the conditions of grinding management threshold and severe damage threshold. The influences of rail natural vibration modes and wheel-rail contact behavior on the mapping characteristics were analyzed. A corrugation intervention index was introduced by wavelength weighting of the wheel-rail vertical force to quantify the corrugation severity. A calculation process for deriving the intervention index from measured wheel-rail vertical force was proposed. An algorithm was developed to identify corrugation and evaluate its intervention degree on actual railways in the 40-300 mm wavelength range. Analysis results show that, with comparison of 58 measured corrugation samples, the accuracy of corrugation evaluation based on the intervention index reaches 91.4%. The intervention index comprehensively considers the excitation characteristics of the corrugation wavelength and the mechanical behavior of the wheel-rail vertical force. It has good application performance in corrugation identification and severity evaluation. These results provide scientific support for understanding corrugation excitation characteristics, evaluating corrugation states, and making-decisions for rail grinding on actual high-speed railways.

     

    • FullText(HTML)
  • loading
    • References(33)
  • [1]
    GRASSIE S L. The corrugation of railway rails: 1. Introduction and mitigation measures[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2023, 237(5): 588-596. doi: 10.1177/09544097221125626
    [2]
    ZHU Hai-yan, YUAN Yao, XIAO Qian, et al. Research progress on rail corrugation[J]. Journal of Traffic and Transportation Engineering, 2021, 21(3): 110-133. doi: 10.19818/j.cnki.1671-1637.2021.03.006
    [3]
    LATHE A S, GAUTAM A. Estimating vertical profile irregularities from vehicle dynamics measurements[J]. IEEE Sensors Journal, 2020, 20(1): 377-385. doi: 10.1109/JSEN.2019.2942317
    [4]
    GAZAFRUDI S M M, YOUNESIAN D, TORABI M. A high accuracy and high-speed imaging and measurement system for rail corrugation inspection[J]. IEEE Transactions on Industrial Electronics, 2021, 68(9): 8894-8903. doi: 10.1109/TIE.2020.3013748
    [5]
    GUERRIERI M, PARLA G, CELAURO C. Digital image analysis technique for measuring railway track defects and ballast gradation[J]. Measurement, 2018, 113: 137-147. doi: 10.1016/j.measurement.2017.08.040
    [6]
    SONG Li-zhong, FENG Qing-song, SUN Kun, et al. Test on vibration noise of rail corrugation section on urban rail transit viaduct[J]. Journal of Traffic and Transportation Engineering, 2021, 21(3): 159-168. doi: 10.19818/j.cnki.1671-1637.2021.03.009
    [7]
    ZHOU Yue, WEN Yong-peng, WANG Xiang-yang, et al. Evaluation method of the grinding limit for metro rail corrugation considering the rolling noise[J]. Journal of Vibration, Measurement & Diagnosis, 2024, 44(1): 100-106, 200.
    [8]
    ZHANG Da-xin, LI Li, ZHANG Yun-fei. Research on rail grinding limit based on metro vehicle interior noise control[J]. Urban Mass Transit, 2023, 26(3): 160-165.
    [9]
    WANG Q S, CHEN S Q, ZENG J, et al. A deep learning fault diagnosis method for metro on-board detection on rail corrugation[J]. Engineering Failure Analysis, 2024, 164: 108662. doi: 10.1016/j.engfailanal.2024.108662
    [10]
    SALVADOR P, NARANJO V, INSA R, et al. Axlebox accelerations: their acquisition and time-frequency characterisation for railway track monitoring purposes[J]. Measurement, 2016, 82: 301-312. doi: 10.1016/j.measurement.2016.01.012
    [11]
    WESTON P, ROBERTS C, YEO G, et al. Perspectives on railway track geometry condition monitoring from in-service railway vehicles[J]. Vehicle System Dynamics, 2015, 53(7): 1063-1091. doi: 10.1080/00423114.2015.1034730
    [12]
    NIU Liu-bin, ZU Hong-lin, XU Xiao-di, et al. Estimation method and application of depth of rail corrugation based on vertical vibration acceleration of axle box[J]. China Railway Science, 2023, 44(1): 25-38.
    [13]
    CARRIGAN T D, TALBOT J P. A new method to derive rail roughness from axle-box vibration accounting for track stiffness variations and wheel-to-wheel coupling[J]. Mechanical Systems and Signal Processing, 2023, 192: 110232. doi: 10.1016/j.ymssp.2023.110232
    [14]
    HE Zhen-xing, LIU Xu-qi, WANG Yu-kui, et al. Time-frequency characteristics analysis of axle-box acceleration in high-speed railway rail corrugation section[J]. Journal of Railway Science and Engineering, 2024, 21(4): 1275-1285.
    [15]
    BAGHERI V R, YOUNESIAN D, TEHRANI P H. A new methodology for the estimation of wheel-rail contact forces at a high-frequency range[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2018, 232(10): 2353-2370. doi: 10.1177/0954409718771746
    [16]
    MAGLIO M, VERNERSSON T, NIELSEN J C O, et al. Railway wheel tread damage and axle bending stress-Instrumented wheelset measurements and numerical simulations[J]. International Journal of Rail Transportation, 2022, 10(3): 275-297. doi: 10.1080/23248378.2021.1932621
    [17]
    GULLERS P, DREIK P, NIELSEN J C O, et al. Track condition analyser: identification of rail rolling surface defects, likely to generate fatigue damage in wheels, using instrumented wheelset measurements[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2011, 225(1): 1-13. doi: 10.1243/09544097JRRT398
    [18]
    NIELSEN J. Rail roughness level assessment based on high- frequency wheel-rail contact force measurements[C]//Springer. Noise and Vibration Mitigation for Rail Transportation Systems. Berlin: Springer, 2008: 355-362.
    [19]
    BERGGREN E G, LI M X D, SPÄNNAR J. A new approach to the analysis and presentation of vertical track geometry quality and rail roughness[J]. Wear, 2008, 265(9/10): 1488-1496.
    [20]
    LI Gu, ZHANG Zhi-chao, ZU Hong-lin, et al. Experimental study on wheel-rail force response characteristics under typical track defects of high speed railway[J]. China Railway Science, 2019, 40(6): 30-36.
    [21]
    NIU Liu-bin, LI Gu, LIU Jin-zhao, et al. Application of the wheel-rail force in track short wave irregularity detection[J]. Railway Engineering, 2019, 59(8): 133-139.
    [22]
    BAEZA L, GINER-NAVARRO J, KNUTH C, et al. Comprehensive model of a rotating flexible wheelset for high-frequency railway dynamics[J]. Mechanical Systems and Signal Processing, 2023, 200: 110592.
    [23]
    MA C Z, GAO L, XIN T, et al. The dynamic resonance under multiple flexible wheelset-rail interactions and its influence on rail corrugation for high-speed railway[J]. Journal of Sound and Vibration, 2021, 498(1): 115968.
    [24]
    RESAPU R R, PERUMAHANTHI L R. Numerical study of bilinear isotropic and kinematic elastic-plastic response under cyclic loading[J]. Materials Today: Proceedings, 2021, 39(4): 1647-1654.
    [25]
    KHAN S A, LUNDBERG J, STENSTRÖM C. The effect of third bodies on wear and friction at the wheel-rail interface[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2022, 236(6): 662-671.
    [26]
    SICHANI M S, BEZIN Y. Differential wear modelling-effect of weld-induced material inhomogeneity on rail surface quality[J]. Wear, 2018, 406/407: 43-52.
    [27]
    CHEN Z, CHENG G, LIU Q, et al. Study on the frequency and temperature characteristics of dynamic stiffness of fastenings in high-speed railway[J]. Journal of Vibration Measurement and Diagnosis, 2022, 42(3): 495-502.
    [28]
    ZENG Z P, WANG J D, SHEN S W, et al. Experimental study on evolution of mechanical properties of CRTS Ⅲ ballastless slab track under fatigue load[J]. Construction and Building Materials, 2019, 210: 639-649.
    [29]
    MASJEDI M, KHONSARI M M. Theoretical and experimental investigation of traction coefficient in line-contact EHL of rough surfaces[J]. Tribology International, 2014, 70: 179-189.
    [30]
    Abaqus Inc. Abaqus theory user's manual[M]. Providence: Abaqus Inc, 2016: 129-162.
    [31]
    BELYTSCHKO T, LIU W, MORAN B. Nonlinear finite elements for continua and structures[M]. New Jersey: John Wiley & Sons Inc, 2014: 312-354.
    [32]
    KLAUS K, SEBASTIAN S. Rail vehicle dynamics[M]. Cham: Springer International Publishing, 2017: 17-32.
    [33]
    SATO Y. Study on high-frequency vibrations in track operation with high-speed trains[J]. Quarterly Reports of RTRI, 1977, 18 (3): 109-114.
    • Relative Articles
    • Supplements(0)
    • Cited By

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (116) PDF downloads(10) Cited by()
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return