Statistical analysis and treatment method of head checks on the Belgian railway network
• Statistical analysis of head checks (HC) is performed from 212 curved tracks in Belgium. • Tracks with radii between 750 and 1000 m have the highest HC growth rate of 1.5 mm/100 MGT. • HC growth per MGT is higher on lines with lower annual traffic loads. • A new method is proposed to estimate the magic wear rate and optimal grinding interval for HC treatment. This paper investigates the growth and treatment of a major type of rail rolling contact fatigue (RCF) known as head checks (HCs). The analysis is based on extensive field data of 212 curved tracks made of R260 steel across the entire Belgian railway network. The HC crack depth was mainly measured by eddy current testing. The growth rates of HCs are analysed in relation to the curve radius, annual traffic load, and rail wear. The key findings are as follows: 1) Tracks with radii between 750 and 1000 m exhibit the highest HC growth rate of about 1.5 mm per 100 million gross tons (MGT) and the largest occurrence probability of about 25 %. 2) A counterintuitive result is that the HC growth per MGT is higher on lines with lower annual traffic loads, consistent with the trend observed in rail wear rates. 3) The artificial wear methods to control RCF, such as preventive grinding, should consider annual traffic load and service time, rather than solely accumulated tonnage, as is the current practice. Based on these findings, a new method is proposed to estimate the magic wear rate for the Belgian railways, which can serve as input for optimising grinding operations to mitigate HCs.
Authors
- Rolf Dollevoet (ORCID: https://orcid.org/0000-0002-8279-8284)
- Alfredo Núñez (ORCID: https://orcid.org/0000-0001-5610-6689)
- Tim Vernaillen
- Pan Zhang (ORCID: https://orcid.org/0000-0003-4642-5832)
- Zili Li (ORCID: https://orcid.org/0000-0003-0507-9101)
Institutions
- Infrabel (Belgium) (BE)
- Delft University of Technology (NL)
Publication Details
- Journal
- International Journal of Fatigue
- Published
- 2025-10-28
- DOI
- https://doi.org/10.1016/j.ijfatigue.2025.109349
- Primary Topic
- Railway Systems and Energy Efficiency
- Type
- article
- Field-Weighted Citation Impact
- 0.00