Application of a bottom-up approach for the analysis of rolling contact fatigue in the Dutch high speed line
R. Schalk (Mott MacDonald)
Arjen Zoeteman (TU Delft - Integral Design & Management)
AA Nunez (TU Delft - Railway Engineering)
A. R M (Rogier) Wolfert (TU Delft - Materials and Environment, TU Delft - Integral Design & Management)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
This paper describes the use of big data analytics for understanding the Rolling Contact Fatigue (RCF) phenomena at the High Speed Line (HSL Zuid) in The Netherlands. The authors developed a data model to investigate the impacting parameters in train-track interaction. This has been done to gain more insight
about the circumstances under which RCF occurs and to conclude why some track sections are severely affected and others not.
To evaluate the worst affected areas by RCF, the methodology proposes a bottom-up approach. By focusing on the worst affected sections with RCF, a set of characteristic parameter values are defined to describe different types of hotspots. Then, a comparison between the hotspots is performed. The
methodology has been applied using real-life data of the Dutch High-speed line, where certain sections had been heavily affected by RCF. Findings concluded that slow running traffic through curves on a highspeed line is likely to contribute to the appearance of RCF.