Developing accurate models to simulate the interaction between pneumatic tires and unprepared terrain is a demanding task. Such tire-terrain contact models are often used to analyze the mobility of a wheeled vehicle on a given type of soil, or to predict the vehicle performance under specified operational conditions (as related to the vehicle and tires, as well as to the running support). Due to the complex nature of the interaction between a tire and off-road environment, one usually needs to make simplifying assumptions when modeling such an interaction. It is often assumed that the tire-terrain interaction can be captured using a deterministic approach, which means that one assumes fixed values for several vehicle or tire parameters, and expects exact responses from the system. While this is rarely the case in real life, it is nevertheless a necessary step in the modeling process of a deterministic framework. In reality, the external excitations affecting the system, as well as the values of the vehicle and terrain parameters, do not have fixed values, but vary in time or space. Thus, although a deterministic model may capture the response of the system given one set of deterministic values for the system parameters, inputs, etc., this is in fact only one possible realization of the multitude of responses that could occur in reality. The goal of our study is to develop a mathematically sound methodology to improve the prediction of the tire-snow interaction by considering the variability of snow depth and snow density, which will lead to a significantly better understanding and a more realistic representation of tire-snow interaction. We constructed stochastic snow models using a polynomial chaos approach developed at Virginia Tech, to account for the variability of snow depth and of snow density. The stochastic tire-snow models developed are based on the extension of two representative deterministic tire-snow interaction models developed at the University of Alaska, including the pressure-stress deterministic model and the hybrid (on-road extended for off-road) deterministic model. Case studies of a select combination of uncertainties were conducted to quantify the uncertainties of the interfacial forces, sinkage, entry angle, and the friction ellipses as a function of wheel load, longitudinal slip, and slip angle. The simulation results of the stochastic pressure-stress model and the stochastic hybrid model are compared and analyzed to identify the most convenient tire design stage for which they are more suitable. The computational efficiency of the two models is also discussed.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Stochastic modeling of tire-snow interaction using a polynomial chaos approach


    Weitere Titelangaben:

    Stochastische Modellierung der Reifen-Schnee-Wechselwirkung mit Hilfe der polynomialen Chaosmethode


    Beteiligte:
    Li, Lin (Autor:in) / Sandu, Corina (Autor:in) / Lee, Jonah (Autor:in) / Liu, Bradford (Autor:in)

    Erschienen in:

    Journal of Terramechanics ; 46 , 4 ; 165-188


    Erscheinungsdatum :

    2009


    Format / Umfang :

    24 Seiten, 24 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch





    Stochastic modeling of tire–snow interaction using a polynomial chaos approach

    Li, Lin / Sandu, Corina / Lee, Jonah et al. | Elsevier | 2009


    Stochastic modeling of tire-snow interaction using a polynomial chaos approach

    Li,L. / Sandu,C. / Lee,J. et al. | Kraftfahrwesen | 2009


    Stochastic modeling of tire-snow interaction using a polynomial chaos approach

    Li, L. / Sandu, C. / Lee, J. et al. | British Library Conference Proceedings | 2009