Comparison of vehicle-track interaction models to simulate vertical wheel/rail impact contact

Chen Shen, Luca Sabbatini, Zilong Wei, Rolf Dollevoet, Zili Li

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

9 Downloads (Pure)

Abstract

This study compares various assumptions in different models to assess their capabilities to model vehicle-track interactions up to 2 kHz at a single rail-top defect. Field measurement data are used to evaluate discrepancies. The characteristics of contact force and axle-box acceleration (ABA) are first identified and qualitatively correlated with track, wheelset and contact models. Subsequently, the results from different models are quantitatively compared in terms of their capabilities to reproduce those characteristics. It is found that the differences in sleeper and wheel-rail contact models lead to the most significant discrepancies. The causes and physical implications of the quantified discrepancies are also discussed.
Original languageEnglish
Title of host publicationDynamics of Vehicles on Roads and Tracks
Subtitle of host publicationProceedings of the 25th International Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2017), 14-18 August 2017, Rockhampton, Queensland, Australia
EditorsMaksym Spiryagin, Timothy Gordon, Colin Cole, Tim McSweeney
PublisherCRC Press
Chapter54
Pages1-7
Number of pages7
Volume2
ISBN (Print)9781138035713
Publication statusPublished - 2018
Event25th International Symposium on Dynamics of Vehicles on Roads and Tracks - Rockhampton, Australia
Duration: 14 Aug 201718 Aug 2017
Conference number: 25
http://www.iavsd2017.org/

Conference

Conference25th International Symposium on Dynamics of Vehicles on Roads and Tracks
Abbreviated titleIAVSD 2017
CountryAustralia
CityRockhampton
Period14/08/1718/08/17
Internet address

Fingerprint Dive into the research topics of 'Comparison of vehicle-track interaction models to simulate vertical wheel/rail impact contact'. Together they form a unique fingerprint.

Cite this