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

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Modelling and validation of off-road vehicle ride dynamics

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Modelling and validation of off-road vehicle ride dynamics. / Pazooki, Alireza; Rakheja, Subhash; Cao, Dongpu.
In: Mechanical Systems and Signal Processing, Vol. 28, 04.2012, p. 679-695.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Pazooki, A, Rakheja, S & Cao, D 2012, 'Modelling and validation of off-road vehicle ride dynamics', Mechanical Systems and Signal Processing, vol. 28, pp. 679-695. https://doi.org/10.1016/j.ymssp.2011.11.006

APA

Pazooki, A., Rakheja, S., & Cao, D. (2012). Modelling and validation of off-road vehicle ride dynamics. Mechanical Systems and Signal Processing, 28, 679-695. https://doi.org/10.1016/j.ymssp.2011.11.006

Vancouver

Pazooki A, Rakheja S, Cao D. Modelling and validation of off-road vehicle ride dynamics. Mechanical Systems and Signal Processing. 2012 Apr;28:679-695. doi: 10.1016/j.ymssp.2011.11.006

Author

Pazooki, Alireza ; Rakheja, Subhash ; Cao, Dongpu. / Modelling and validation of off-road vehicle ride dynamics. In: Mechanical Systems and Signal Processing. 2012 ; Vol. 28. pp. 679-695.

Bibtex

@article{76c9170f9795442fbd07594fdd3a0d5f,
title = "Modelling and validation of off-road vehicle ride dynamics",
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.",
keywords = "Off-road vehicle ride dynamics, Ride dynamics model , Model validation, Suspension design , Three dimensional tire–terrain interaction model , Terrain roughness characterization",
author = "Alireza Pazooki and Subhash Rakheja and Dongpu Cao",
note = "The final, definitive version of this article has been published in the Journal, Mechanical Systems and Signal Processing 28, 2012, {\textcopyright} ELSEVIER.",
year = "2012",
month = apr,
doi = "10.1016/j.ymssp.2011.11.006",
language = "English",
volume = "28",
pages = "679--695",
journal = "Mechanical Systems and Signal Processing",
issn = "0888-3270",
publisher = "Academic Press Inc.",

}

RIS

TY - JOUR

T1 - Modelling and validation of off-road vehicle ride dynamics

AU - Pazooki, Alireza

AU - Rakheja, Subhash

AU - Cao, Dongpu

N1 - The final, definitive version of this article has been published in the Journal, Mechanical Systems and Signal Processing 28, 2012, © ELSEVIER.

PY - 2012/4

Y1 - 2012/4

N2 - 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.

AB - 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.

KW - Off-road vehicle ride dynamics

KW - Ride dynamics model

KW - Model validation

KW - Suspension design

KW - Three dimensional tire–terrain interaction model

KW - Terrain roughness characterization

U2 - 10.1016/j.ymssp.2011.11.006

DO - 10.1016/j.ymssp.2011.11.006

M3 - Journal article

VL - 28

SP - 679

EP - 695

JO - Mechanical Systems and Signal Processing

JF - Mechanical Systems and Signal Processing

SN - 0888-3270

ER -