The problem of vehicle development subject to uncertain parameters is of great significance in realistic engineering applications. A probabilistic optimization approach are proposed to deal with the uncertainty and demonstrated in vehicle suspension design application. The uncertainty propagation is realized by Sparse Grid Techniques. As a hierarchical multilevel Multidisciplinary Design Optimization (MDO) method with uncertainty, Probabilistic Analytical Target Cascading (PATC) is enhanced by considering the first two statistical moments of interrelated responses. The proposed methods were demonstrated by a suspension probabilistic optimization problem, and were solved by the proposed PATC and SGNI. Results show that the enhanced PATC has good effectiveness and efficiency.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Probabilistic Optimization Approach to Vehicle Suspension Design Under Uncertainty


    Contributors:
    Chen, Xiaokai (author) / Zhao, Qinghai (author) / Lin, Yi (author) / Song, Kang (author)


    Publication date :

    2012


    Size :

    13 Seiten





    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    A probabilistic optimization approach to vehicle suspension design under uncertainty

    Chen,X. / Zhao,Q. / Lin,Y. et al. | Automotive engineering | 2012


    A Probabilistic Optimization Approach to Vehicle Suspension Design Under Uncertainty

    Chen, Xiaokai / Zhao, Qinghai / Lin, Yi et al. | Springer Verlag | 2012


    A Probabilistic Optimization Approach to Vehicle Suspension Design Under Uncertainty F2012-G01-018

    Chen, X. / Zhao, Q. / Lin, Y. et al. | British Library Conference Proceedings | 2013


    Probabilistic Approach to Free-Form Airfoil Shape Optimization Under Uncertainty

    Luc Huyse / Sharon L. Padula / R. Michael Lewis et al. | AIAA | 2002


    Probabilistic approach to free-form airfoil shape optimization under uncertainty

    Huyse, L. / Padula, S.L. / Lewis, R.M. et al. | Tema Archive | 2002