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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Mean Value Method for Reliability Based Optimization Revisited


    Additional title:

    Sae Technical Papers


    Contributors:
    Wang, B. P. (author)

    Conference:

    SAE 2004 World Congress & Exhibition ; 2004



    Publication date :

    2004-03-08




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Mean Value Method for Reliability Based Optimization Revisited

    Wang, B. P. / Society of Automotive Engineers | British Library Conference Proceedings | 2004


    Mean value method for reliability based optimization revisited

    Wang,B.P. / Univ.of Texas,US | Automotive engineering | 2004


    Mean Value Method for Reliability Based Optimization Revisited

    Wang, B. P. / Society of Automotive Engineers | British Library Conference Proceedings | 2004



    Satellite beam layout optimization method based on dynamic mean value clustering

    ZENG HAO / CHEN YIXIANG / DONG TAO et al. | European Patent Office | 2024

    Free access