Rail RCF damage quantification and comparison for different damage models
Visakh V. Krishna, Saeed Hossein-Nia, Carlos Casanueva, Sebastian Stichel, Gerald Trummer, Klaus Six
Railway Engineering Science ›› 2022, Vol. 30 ›› Issue (1) : 23-40.
Rail RCF damage quantification and comparison for different damage models
There are several fatigue-based approaches that estimate the evolution of rolling contact fatigue (RCF) on rails over time and built to be used in tandem with multi-body simulations of vehicle dynamics. However, most of the models are not directly comparable with each other since they are based on different physical models even though they shall predict the same RCF damage at the end. This article studies different approaches to quantifying RCF and puts forward a measure for the degree of agreement between them. The methodological framework studies various steps in the RCF quantification procedure within the context of one another, identifies the ‘primary quantification step’ in each approach and compares results of the fatigue analyses. In addition to this, two quantities—‘similarity’ and ‘correlation’—have been put forward to give an indication of mutual agreement between models. Four widely used surface-based and sub-surface-based fatigue quantification approaches with varying complexities have been studied. Different operational cases corresponding to a metro vehicle operation in Austria have been considered for this study. Results showed that the best possible quantity to compare is the normalized damage increment per loading cycle coming from different approaches. Amongst the methods studied, approaches that included the load distribution step on the contact patch showed higher similarity and correlation in their results. While the different approaches might qualitatively agree on whether contact cases are ‘damaging’ due to RCF, they might not quantitatively correlate with the trends observed for damage increment values.
Rolling contact fatigue / Rail surface damage / Wedge model / KTH model / Surface fatigue index / Multi-body simulation / Track-friendliness
[1.] |
|
[2.] |
|
[3.] |
|
[4.] |
|
[5.] |
|
[6.] |
Burstow MC (2003) Whole life rail model application and development for RSSB—development of an RCF damage parameter. RSSB Report, AEATR-ES-2003–832, Issue 1, Rail Safety & Standards Boards, London, UK
|
[7.] |
Meierhofer A (2015) A new wheel-rail creep force model based on elasto-plastic third body layers. Dissertation, Graz University of Technology
|
[8.] |
Meierhofer A, Müller G, Six K, Dietmaier P (2016) A wheel-rail creep force model considering normal stress and temperature dependent plasticity effects. In: The Dynamics of Vehicles on Roads and Tracks, Proceedings of the 24th Symposium of the International Association for Vehicle System Dynamics (IAVSD 2015). CRC Press, Graz, Austria
|
[9.] |
|
[10.] |
|
[11.] |
Hossein-Nia S (2017) On heavy-haul wheel damages using vehicle dynamics simulation. Dissertation, KTH Royal Institute of Technology
|
[12.] |
|
[13.] |
|
[14.] |
Persson I (2020) GENSYS. http://www.gensys.se/index.html#. Accessed 25 Feb 2021
|
[15.] |
Simpack (2020) Dassault Systèmes, , Vélizy-Villacoublay Cedex, France. https://www.3ds.com/products-services/simulia/products/simpack/. Accessed 25 Feb 2021
|
[16.] |
|
[17.] |
|
[18.] |
|
[19.] |
|
[20.] |
|
[21.] |
|
[22.] |
|
[23.] |
|
/
〈 |
|
〉 |