Loughborough University
Browse
Analysis of Vehicle Rollover Dynamics.pdf (3.1 MB)

Analysis of vehicle rollover dynamics using a high-fidelity model

Download (3.1 MB)
journal contribution
posted on 2014-06-04, 12:28 authored by Maciej P. Czechowicz, Georgios MavrosGeorgios Mavros
Recent data show that 35% of fatal crashes in sport utility vehicles included vehicle rollover. At the same time, experimental testing to improve safety is expensive and dangerous. Therefore, multi-body simulation is used in this research to improve the understanding of rollover dynamics. The majority of previous work uses low-fidelity models. Here, a complex and highly nonlinear multi-body model with 165 degrees of freedom is correlated to vehicle kinematic and compliance (K&C) measurements. The Magic Formula tyre model is employed. Design of experiment methodology is used to identify tyre properties affecting vehicle rollover. A novel, statistical approach is used to link suspension K&C characteristics with rollover propensity. Research so far reveals that the tyre properties that have the greatest influence on vehicle rollover are friction coefficient, friction variation with load, camber stiffness and tyre vertical stiffness. Key K&C characteristics affecting rollover propensity are front and rear suspension rate, front roll stiffness, front camber gain, front and rear camber compliance and rear jacking force. © 2014 Taylor & Francis.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Vehicle System Dynamics

Volume

52

Issue

5

Pages

608 - 636

Citation

CZECHOWICZ, M.P. and MAVROS, G., 2014. Analysis of vehicle rollover dynamics using a high-fidelity model. Vehicle System Dynamics, 52 (5), pp. 608–636.

Publisher

© Taylor & Francis

Version

  • SMUR (Submitted Manuscript Under Review)

Acceptance date

2013-11-04

Publication date

2014-02-11

Notes

This article was published in the journal, Vehicle System Dynamics [© Taylor & Francis] and the definitive version is available at: http://dx.doi.org/10.1080/00423114.2013.863362

ISSN

0042-3114

eISSN

1744-5159

Language

  • en

Usage metrics

    Loughborough Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC