Approach for conformal contact detection for wheel-rail interaction

Filipe Marques, Hugo Magalhães, Jorge Ambrósio, Paulo Flores

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Citations (Scopus)


No matter which methodology is used for the computational modelling and analysis, the wheel-rail interaction plays a fundamental role on the dynamic response of railway vehicles. For that, fast and accurate evaluation of the contact interaction is demanded. Bearing that in mind, realistic contact conditions must be taken into account to replicate as detailed as possible this interaction, namely in what concerns with the consideration of actual wheel and rail profiles. Often, parametric surfaces are used to describe their geometry; however, it is shown that the search for potential contact points may become troublesome when the contacting surfaces are conformal. In this work, a methodology to deal with contact detection between general wheel and rail profiles with conformal contact scenarios is presented. This method consists of the division of the wheel into strips together with a search approach to detect the contact between each strip and the rail surface. The static interaction between UIC54 rail and a wheel profiles is used as case study to demonstrate the effectiveness of the methodology described here. The results obtained show that the proposed approach is able to properly describe the contact zone and calculate the penetration along the patch.

Original languageEnglish
Title of host publicationEuCoMeS 2018: Proceedings of the 7th European Conference on Mechanism Science
Subtitle of host publicationMechanisms and Machine Science
EditorsBurkhard Corves, Philippe Wenger, Mathias Hüsing
PublisherSpringer Netherlands
Number of pages8
ISBN (Print)9783319980195
Publication statusPublished - 9 Sep 2018
Externally publishedYes
Event7th European Conference on Mechanism Science - Aachen, Germany
Duration: 4 Sep 20186 Sep 2018
Conference number: 7

Publication series

NameMechanisms and Machine Science
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992


Conference7th European Conference on Mechanism Science
Abbreviated titleEuCoMeS 2018
Internet address


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