The OOR (out-of-roundness) wheel is one of the main excitation sources causing vehicle vibration. However, the OOR wheel is random, which indicates that the vehicle vibration obtained with a deterministic OOR wheel cannot comprehensively express dynamic performances. To this end, a probability analysis framework is proposed in this paper. First, the probability model of the OOR wheel is derived; Second, the equation of the vehicle system dynamics is modelled; Then, the direct probability integral method is developed to obtain the PDF (probability density function) of vehicle random vibration; Finally, the statistics characterized random vibration characteristics of the vehicle are calculated. The effectiveness of the proposed framework is verified with a case study. The results show that the PDF of vehicle random vibration excited by the Gaussian distribution OOR wheel excitation exhibits a right-skew shape, which significantly affects the dynamic performance. Compared to the Monte Carlo simulation, the proposed framework has higher computational efficiency for the same accuracy to analyze vehicle random vibration.


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    Title :

    An Efficient Probability Analysis Framework to Obtain Vehicle Random Vibration Considering the Randomness of Out-of-Roundness Wheels


    Additional title:

    Lect.Notes Mechanical Engineering


    Contributors:
    Huang, Wei (editor) / Ahmadian, Mehdi (editor) / Wang, Tengfei (author) / Zhou, Jinsong (author) / Sun, Wenjing (author) / Li, Guoshun (author)

    Conference:

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



    Publication date :

    2024-11-01


    Size :

    6 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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