Mechanics & Industry
Volume 14, Number 5, 2013
|Page(s)||347 - 359|
|Published online||18 December 2013|
Dynamics of railway track subjected to distributed and local out-of-round wheels
1 LAMIH UMR CNRS 8201, University of
Valenciennes, Le Mont
2 Gantha, 12 boulevard Chasseigne, 86000 Poitiers, France
⋆ Corresponding author:
Accepted: 6 October 2013
The dynamic response of a railway track under a moving train in the presence of a defective wheel is studied. The goal of this study is to establish an efficient dynamic model for wheel tread defect analysis. The wheel irregularities which influence the track vibration characteristics are classified in 2 major types: periodic out-of-roundness and local defect. While the periodic irregularities are distributed all around the wheel, the local defects such as wheelflats have more impact on the dynamic response. The influence of each defect depends on its geometrical characteristics and the model parameters. The separate effects of different irregularities have been the subject of many previous researches. However the contribution of each defect to a coupling of irregularities was not as much considered. For a comprehensive analysis of all types of defects, an efficient global model is presented. It includes 3 sub-models for vehicle, contact force and track. The time-domain responses of the model are evaluated in comparison to those of a finite element model. It is shown that the semi-analytical model of the track keeps a good precision while being less time consuming. The results of the global model for different types of wheel irregularities are presented.
Key words: Out-of-round wheel / periodic irregularities / wheelflat / railway track model / time-domain response
© AFM, EDP Sciences 2013
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.