In traditional terramechanics theory, a pressure-sinkage equation is used to relate the pressure acting on a point along the wheel-soil contact surface to the wheel sinkage at that point. Another equation relates the normal pressure and the wheel slip to the shear stress acting at any point the wheel-soil interface. Because the normal soil reaction force is largely produced by the normal stress of the compacted soil, the wheel slip has very little effect on the predicted sinkage value. This means that, all other parameters being constant, the sinkage and compaction resistance force remain almost constant regardless of the slip.

    In practice, vehicles develop increasing sinkage with increasing slip and the true value of compaction resistance force can be up to double the force predicted using the traditional methods. Failing to capture this slip-sinkage effect can therefore lead to an over-estimation of vehicle performance indicators such as required power, traversability and maximum speed. This overestimation can lead to the design or selection of vehicles that are unable to perform the tasks that they are meant to complete.

    This problem was addressed in other works using analytical equations for the prediction of slip-sinkage that are based on experimental data. This work will present a detailed description of the application of the previously proposed slip-sinkage method as applied to a full vehicle performance prediction model.


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    Titel :

    Wheeled Vehicle Slip-Sinkage Prediction


    Weitere Titelangaben:

    Lect.Notes Mechanical Engineering


    Beteiligte:
    Huang, Wei (Herausgeber:in) / Ahmadian, Mehdi (Herausgeber:in) / Karpman, Eric (Autor:in) / Huang, Wei (Autor:in)

    Kongress:

    The IAVSD International Symposium on Dynamics of Vehicles on Roads and Tracks ; 2023 ; Ottawa, ON, Canada August 21, 2023 - August 25, 2023



    Erscheinungsdatum :

    13.10.2024


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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