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Vehicle System Dynamics
International Journal of Vehicle Mechanics and Mobility
Volume 60, 2022 - Issue 3
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Articles

Comparison of wheel–rail contact models in the context of multibody system simulation: Hertzian versus non-Hertzian

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Pages 1076-1096 | Received 23 Dec 2019, Accepted 31 Oct 2020, Published online: 17 Nov 2020
 

Abstract

The calculation of the wheel–rail contact forces is one of the most difficult yet time-consuming processes in multibody system (MBS) simulations for a vehicle-track interaction system. The classical combination of the Hertzian model with the FASTSIM algorithm is the most widely used model in MBS code for railway application and the ‘exact’ solver CONTACT is seldom used due to its high computational cost. A trade-off solution between accuracy and computational efficiency is the simplified and approximate non-Hertzian approach. This paper attempts to compare the influence on MBS simulation for rail vehicle system dynamics of the varied combinations of the classical contact models (i.e. Hertz model and FASTSIM), well-known simplified non-Hertzian model (Kik–Piotrowski model) recently developed improved simplified non-Hertzian models i.e. Extended Kik–Piotrowski and Kalker Book of Tables for Non-Hertzian contact (KBTNH), and the CONTACT algorithm. The results show that all non-Hertzian approaches deviate from the classical Hertzian solutions in both local contact and global dynamics and the KBTNH model provides better agreement with CONTACT than the FASTSIM algorithm for non-elliptic contact conditions considered in this study. A detailed analysis of the causes and influences of the difference due to varied contact models is presented.

Acknowledgements

The authors are thankful to Dr Edwin Vollebregt for useful discussion about how to ensure consistency of creepages in the MBS model and in the external contact routines. This work was supported by the Open Project funded by the State Key Laboratory of Traction Power, Southwest Jiaotong University under grant number TPL1910. A preliminary version of this paper was presented at the conference of IAVSD 2019, the authors appreciate the fruitful discussions raised by the audience.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Open Project funded by the State Key Laboratory of Traction Power, Southwest Jiaotong University [grant number TPL1910].

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