Dynamic axle force and road profile identification using a moving vehicle

Patrick J. McGetrick, Chul-Woo Kim, Arturo González, Eugene J. OBrien

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    The axle forces applied by a vehicle through its wheels are a critical part of the interaction between vehicles, pavements and bridges. Therefore, the minimisation of these forces is important in order to promote long pavement life spans and ensure that bridge loads are small. Moreover, as the road surface roughness affects the vehicle dynamic forces, the monitoring of pavements for highways and bridges is an important task. This paper presents a novel algorithm to identify these dynamic interaction forces which involves direct instrumentation of a vehicle with accelerometers. The ability of this approach to predict the pavement roughness is also presented. Moving force identification theory is applied to a vehicle model in theoretical simulations in order to obtain the interaction forces and pavement roughness from the measured accelerations. The method is tested for a range of bridge spans in simulations and the influence of road roughness level on the accuracy of the results is investigated. Finally, the challenge for the real-world problem is addressed in a laboratory experiment.
    Original languageEnglish
    Title of host publicationProceedings of the 25th KKCNN Symposium on Civil Engineering (KKCNN 2012)
    Number of pages4
    Publication statusPublished - Oct 2012
    EventThe Twenty-Fifth KKCNN Symposium on Civil Engineering (KKCNN 2012) - BEXCO, Busan, Korea, Republic of
    Duration: 22 Oct 201224 Oct 2012


    ConferenceThe Twenty-Fifth KKCNN Symposium on Civil Engineering (KKCNN 2012)
    Country/TerritoryKorea, Republic of


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