Home > Research > Publications & Outputs > Modelling and validation of off-road vehicle ri...

Associated organisational unit

Electronic data

  • MSSP_off-road vehicle ride dynamics_Dongpu_accepted

    Rights statement: The final, definitive version of this article has been published in the Journal, Mechanical Systems and Signal Processing 28, 2012, © ELSEVIER.

    Submitted manuscript, 730 KB, PDF document

Links

Text available via DOI:

View graph of relations

Modelling and validation of off-road vehicle ride dynamics

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
Close
<mark>Journal publication date</mark>04/2012
<mark>Journal</mark>Mechanical Systems and Signal Processing
Volume28
Number of pages17
Pages (from-to)679-695
Publication StatusPublished
<mark>Original language</mark>English

Abstract

Increasing concerns on human driver comfort/health and emerging demands on suspension systems for off-road vehicles call for an effective and efficient off-road vehicle ride dynamics model. This study devotes both analytical and experimental efforts in developing a comprehensive off-road vehicle ride dynamics model. A three-dimensional tire model is formulated to characterize tire–terrain interactions along all the three translational axes. The random roughness properties of the two parallel tracks of terrain profiles are further synthesized considering equivalent undeformable terrain and a coherence function between the two tracks. The terrain roughness model, derived from the field-measured responses of a conventional forestry skidder, was considered for the synthesis. The simulation results of the suspended and unsuspended vehicle models are derived in terms of acceleration PSD, and weighted and unweighted rms acceleration along the different axes at the driver seat location. Comparisons of the model responses with the measured data revealed that the proposed model can yield reasonably good predictions of the ride responses along the translational as well as rotational axes for both the conventional and suspended vehicles. The developed off-road vehicle ride dynamics model could serve as an effective and efficient tool for predicting vehicle ride vibrations, to seek designs of primary and secondary suspensions, and to evaluate the roles of various operating conditions.

Bibliographic note

The final, definitive version of this article has been published in the Journal, Mechanical Systems and Signal Processing 28, 2012, © ELSEVIER.