The use of mean value first order second moment (MVFOSM or Mean Value (MV) method) in reliability based optimization (RBDO) is studied in this paper. Through a simple xN type nonlinear function, it is shown that the error of MV depends on the coefficient of variation (cov) of the design variables. When the cov is small, MV may provide accurate approximation even for highly nonlinear constraints with high probability requirement. A simple numerical example is presented to illustrate the results.


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    Titel :

    Mean Value Method for Reliability Based Optimization Revisited


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Wang, B. P. (Autor:in)

    Kongress:

    SAE 2004 World Congress & Exhibition ; 2004



    Erscheinungsdatum :

    2004-03-08




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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