Heavy haul railway operations present significant maintenance challenges, particularly accelerated wear and Rolling Contact Fatigue (RCF) of wheels and rails. Measures like tighter maintenance limits, optimized wheel–rail profiles, and advancing maintenance technologies have helped mitigate RCF on tangent tracks, large-radius curves, and high (outer) rails of small radius curves. However, these efforts have been less effective in mitigating RCF on low (inner) rails of small-radius curves. Given a fixed infrastructure design, rolling stock fleet, and optimized wheel–rail profiles, variations in operational conditions and the progressive degradation of wheels and track significantly influence wheel–rail interaction. The literature highlights that wheel hollowness and track gauge widening are the primary contributors. Therefore, this study focuses on an in-depth examination of how variations in these two factors influence wear and RCF development. A multibody dynamic model of an iron ore wagon is developed using the GENSYS software. Measured track irregularities, and rail and wheel profiles representing various degraded conditions, are incorporated into the simulations. The results reveal that wear number and RCF index trends differ significantly between the two rails (high and low rails) of a curved track, with degradation in wheels and rails. Consequently, maintenance strategies primarily designed to address high rail wear, since it is typically more severe, do not fully mitigate issues on the low rail.
| [1] |
Hossein Nia S, Krishna VV, Odolinski K, et al. . Simulation-based evaluation of maintenance strategies from a life cycle cost perspective. Wear, 2023, 532205120
|
| [2] |
Smith A, Iwnicki S, Kaushal A, et al. . Estimating the relative cost of track damage mechanisms: combining economic and engineering approaches. Proc Inst Mech Eng F J Rail Rapid Transit, 2017, 231(5): 620-636
|
| [3] |
Smith AS, Odolinski K, Hossein-Nia S, et al. . Estimating the marginal maintenance cost of different vehicle types on rail infrastructure. Proc Inst Mech Eng Part F J Rail Rapid Transit, 2021, 235(10): 1191-1202
|
| [4] |
Zeng Y, Song D, Zhang W, et al. . An optimal life cycle reprofiling strategy of train wheels based on Markov decision process of wheel degradation. IEEE Trans Intell Transp Syst, 2022, 23(8): 10354-10364
|
| [5] |
Kuka N, Ariaudo C, Verardi R, et al. . Impact of rail infrastructure maintenance conditions on the vehicle-track interaction loads. Proc Inst Mech Eng Part C J Mech Eng Sci, 2021, 235(16): 2952-2967
|
| [6] |
Magel E, Kalousek J. Designing and assessing wheel/rail profiles for improved rolling contact fatigue and wear performance. Proc Inst Mech Eng Part F J Rail Rapid Transit, 2017, 231(7): 805-818
|
| [7] |
Grassie SL. Traction, curving and surface damage of rails, Part 2: rail damage. Proc Inst Mech Eng Part F J Rail Rapid Transit, 2015, 229(3): 330-339
|
| [8] |
Kovalev R, Yazykov VN, Mikhalchenko GS, et al. . Railway vehicle dynamics: some aspects of wheel–rail contact modeling and optimization of running gears. Mech Based Des Struct Mach, 2003, 31(3): 315-334
|
| [9] |
Liu B, Mei TX, Bruni S. Design and optimisation of wheel–rail profiles for adhesion improvement. Veh Syst Dyn, 2016, 54(3): 429-444
|
| [10] |
Bolton PJ, Clayton P. Rolling-sliding wear damage in rail and tyre steels. Wear, 1984, 93(2): 145-165
|
| [11] |
Molyneux-Berry P, Davis C, Bevan A. The influence of wheel/rail contact conditions on the microstructure and hardness of railway wheels. Sci World J, 2014, 2014 209752
|
| [12] |
Yadav OP, Leung J, Stichel S (2024) Effects of gauge widening and wheel wear on low rail surface damage of heavy haul line. In: Sixth international conference on railway technology: research, development and maintenance, Prague, vol 7,pp 9.10
|
| [13] |
Evans G. Managing rail profile. Ironmak Steelmak, 2013, 40(2): 115-119
|
| [14] |
Grassie SL (2009) Maintenance of the wheel–rail interface. Wheel–rail interface handbook. Elsevier, pp 576–607
|
| [15] |
Tournay HM, Mulder JM. The transition from the wear to the stress regime. Wear, 1996, 191(1–2): 107-112
|
| [16] |
Sawley K, Wu H. The formation of hollow-worn wheels and their effect on wheel/rail interaction. Wear, 2005, 258(7–8): 1179-1186
|
| [17] |
Lee J, Dersch MS, de Oliveira Lima A, et al. . Probabilistic review of wheel profiles based on hollow tread in the U.S. heavy haul rail network. Proc Inst Mech Eng Part F J Rail Rapid Transit, 2023, 237(4): 508-516
|
| [18] |
Silva e Silva JVR, Antoniolli FA, Endlich CS, et al. . Influence of wheel tread wear on rolling contact fatigue and on the dynamics of railway vehicles. Wear, 2023, 523: 204735
|
| [19] |
Asplund M, Famurewa SM, Schoech W. A Nordic heavy haul experience and best practices. Proc Inst Mech Eng Part F J Rail Rapid Transit, 2017, 231(7): 794-804
|
| [20] |
Flodin J (2020) Investigate the track gauge widening on the Iron-ore line and suggest maintenance limits. Dissertation, KTH Royal Institute of Technology
|
| [21] |
Sun Y, Spiryagin M, Cole C et al (2013) Effect of wheel–rail contacts and track gauge variation on hunting behaviors of Australian three-piece bogie wagon. In: 23rd IAVSD Symposium (IAVSD 2013), Qingdao, pp 1–6
|
| [22] |
Sawley K, Urban C, Walker R. The effect of hollow-worn wheels on vehicle stability in straight track. Wear, 2005, 258(7/8): 1100-1108
|
| [23] |
GENSYS (2025) Gensys software, https://www.gensys.se. Accessed 15 March 2025
|
| [24] |
Palo M, Galar D, Nordmark T, et al. . Condition monitoring at the wheel/rail interface for decision-making support. Proc Inst Mech Eng Part F J Rail Rapid Transit, 2014, 228(6): 705-715
|
| [25] |
Lemma Y, Asplund M, Rantatalo M. Investigation of the top-of-rail friction by field measurements on Swedish iron ore line. Int J Cond Monit Diagn Eng Manag, 2015, 18: 17-20
|
| [26] |
Bosso N, Magelli M, Zampieri N. Simulation of wheel and rail profile wear: a review of numerical models. Railw Eng Sci, 2022, 30(4): 403-436
|
| [27] |
Dirks B, Enblom R. Prediction model for wheel profile wear and rolling contact fatigue. Wear, 2011, 271(1–2): 210-217
|
| [28] |
Ekberg A, Kabo E, Andersson H. An engineering model for prediction of rolling contact fatigue of railway wheels. Fatigue Fract Eng Mat Struct, 2002, 25(10): 899-909
|
| [29] |
Hossein Nia S, Casanueva C, Stichel S. Prediction of RCF and wear evolution of iron-ore locomotive wheels. Wear, 2015, 338: 62-72
|
| [30] |
Persson I, Asplund M, Söderström P et al (2024) Methodology for Wheel Wear Simulations, RCF and Equivalent Conicity. Technical Report 178508100-006, Trafikverket,
|
| [31] |
Li Y, Wu Y, Mutton P, et al. . A ratcheting mechanism-based numerical model to predict damage initiation in twin-disc tests of premium rail steels. Eng Fail Anal, 2023, 146 107066
|
| [32] |
Alwahdi F, Franklin FJ, Kapoor A. The effect of partial slip on the wear rate of rails. Wear, 2005, 258(7–8): 1031-1037
|
| [33] |
Wu Y, Lun Pun C, Huang P, et al. . Effect of creepages on stress intensity factors of rolling contact fatigue cracks. Eng Fract Mech, 2023, 289 109477
|
| [34] |
Fröhling R, Ekberg A, Kabo E. The detrimental effects of hollow wear: field experiences and numerical simulations. Wear, 2008, 265(9–10): 1283-1291
|
| [35] |
Fischmeister E, Ossberger M, Pongracz R et al (2007) Wheel re-profiling and rail grinding strategies on Wiener Linien (part 1 of 2). Interface–The Journal of Wheel/Rail Interaction. https://interfacejournal.com/archives/469. Accessed 17 Oct 2025
|
| [36] |
Zhai W, Gao J, Liu P, et al. . Reducing rail side wear on heavy-haul railway curves based on wheel–rail dynamic interaction. Veh Syst Dyn, 2014, 52(sup1): 440-454
|
| [37] |
Hardwick C, Lewis R, Stock R. The effects of friction management materials on rail with pre existing rcf surface damage. Wear, 2017, 384: 50-60
|
| [38] |
Khan SA, Persson I, Lundberg J, et al. . Prediction of top-of-rail friction control effects on rail RCF suppressed by wear. Wear, 2017, 380: 106-114
|
| [39] |
Khan SA, Lundberg J, Stenström C. Life cycle cost analysis for the top-of-rail friction-modifier application: a case study from the Swedish iron ore line. Proc Inst Mech Eng Part F J Rail Rapid Transit, 2021, 235(1): 83-93
|
| [40] |
Meghoe A, Loendersloot R, Tinga T. Rail wear and remaining life prediction using meta-models. Int J Rail Transp, 2020, 8(1): 1-26
|
| [41] |
Kraft S, Lüdicke D. Sensitivity analysis for operating loads in fatigue design of railway vehicles. Proc Inst Mech Eng Part F J Rail Rapid Transit, 2022, 236(7): 826-837
|
| [42] |
Pellicer DS, Larrodé E. Sensitivity analysis of bogie wheelbase and axle load for low-floor freight wagons, based on wheel wear. Machines, 2024, 12(8): 515
|
| [43] |
Zhou C, Zhao H, Chang Q, et al. . Reliability and global sensitivity analysis for an airplane slat mechanism considering wear degradation. Chin J Aeronaut, 2021, 34(1): 163-170
|
| [44] |
Li H, Yao Y, Chen X. Suspension parameter optimization for high-speed train with severe tread wear. Int J Rail Transp, 2025, 13(2): 381-401
|
Funding
European Union and Trafikverket(101101966)
RIGHTS & PERMISSIONS
The Author(s)