Reliability-based robust design optimization deals with two objectives of structural design methodologies subject to various uncertainties: reliability-based design and robust design. A reliability-based design optimization deals with the probability of failure, while a robust design optimization minimizes the product quality loss. In general, the product quality loss is described by using the first two statistical moments: mean and standard deviation. In this paper, a performance moment integration (PMI) method is proposed by using numerical integration scheme for output response to estimate the product quality loss. For the reliability part of the reliability-based robust design optimization, the performance measure approach (PMA) and its numerical method, hybrid-mean value (HMV) method, are used. New formulations of reliability-based robust design optimization are presented for three different types of robust objectives, such as smaller-the-better, larger-the-better, and nominal-the-better types. Examples are used to demonstrate the effectiveness of reliability-based robust design optimization using the proposed PMI method for different types of robust objective.


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    Title :

    Reliability-Based Robust Design Optimization Using the Performance Moment Integration Method and Case Study of Engine Gasket-Sealing Problem


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE 2005 World Congress & Exhibition ; 2005



    Publication date :

    2005-04-11




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English






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