This paper proposes a methodology to estimate errors in computational models and to include them in reliability-based design optimization (RBDO). Various sources of uncertainties, errors and approximations in model form selection and numerical solution are considered. The solution approximation error is quantified based on the model itself while the model form error is quantified based on the comparison of model prediction with physical observations using an interpolated resampling approach. The error in reliability analysis is also quantified and included in the RBDO formulation. The proposed methods are illustrated through numerical examples.


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    Title :

    Model Error Quantification for Reliability-Based Design


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE World Congress & Exhibition ; 2007



    Publication date :

    2007-04-16




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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