Application of a bottom-up approach for the analysis of rolling contact fatigue in the Dutch high speed line

Conference paper (2017)

Authors

R. Schalk Mott MacDonald
A. Zoeteman Integral Design & Management - CEG
Alfredo Nunez Railway Engineering - CEG
A.R.M. Wolfert Materials and Environment - CEG , Integral Design & Management - CEG
Research Group
Integral Design & Management (CEG) (TU Delft)
Copyright: © 2017 R. Schalk, A. Zoeteman, Alfredo Nunez, A.R.M. Wolfert
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Published Date

2017

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Materials- Mechanics- Management & Design

Research Group

Integral Design & Management

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.