An integrated stochastic design framework that facilitates practical applications involving time-consuming CAE simulations is described. The probabilistic performance measure that addresses stochastic uncertainties in CAE modeling and simulations is used to support design decision-making. Two enabling metamodeling methods using cross-validated radial basis functions (CVRBF) and a corresponding uniform sampling method are introduced to approximate highly nonlinear CAE model input/output relationships. A vehicle restraint system example is used to demonstrate the effectiveness of the proposed framework and enabling techniques.


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    Titel :

    An Integrated Stochastic Design Framework Using Cross-Validated Multivariate Metamodeling Methods


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Tu, Jian (Autor:in) / Cheng, Yi-Pen (Autor:in)

    Kongress:

    SAE 2003 World Congress & Exhibition ; 2003



    Erscheinungsdatum :

    2003-03-03




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





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