Sampling-based methods are general but time consuming for solving a Reliability-Based Design Optimization (RBDO) problem. In order to alleviate the computation burden, score function together with the Monte Carlo method was used to compute the stochastic sensitivities of reliability functions. In literature, re-weighting schemes were shown to converge faster than the regular Monte Carlo method. In this paper, a reweighting scheme together with score function is employed to perform sampling-based stochastic sensitivity analysis to improve the computational efficiency and accuracy. An analytical example is used to show the advantages of the proposed method. Comparisons to the conventional methods are made and discussed. Two RBDO problems are solved to demonstrate the use of the proposed method.


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    Titel :

    Sampling-Based RBDO Using Score Function with Re-Weighting Scheme


    Weitere Titelangaben:

    Sae Int. J. Mater. Manf
    Sae International Journal of Materials and Manufacturing


    Beteiligte:
    Shi, Lei (Autor:in) / Yang, Ren-Jye (Autor:in) / Lin, Shih-Po (Autor:in)

    Kongress:

    SAE 2013 World Congress & Exhibition ; 2013



    Erscheinungsdatum :

    2013-04-08


    Format / Umfang :

    7 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch








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    Tapankov, M. / Stromberg, N. / American Institute of Aeronautics and Astronautics; International Society for Structural and Multidisciplinary Optimization | British Library Conference Proceedings | 2012