This paper is on the application of reliability-based design optimization of automotive structures. Several fundamental approaches aimed at simulations, optimization and robustness analysis are discussed. They include: - sampling techniques and nonlinear response surface methodologies; - optimization and robustness assessment. - basic approaches of reliability-based design optimization such as Hasofer-Lind method, single loop single vector method and mean value first order reliability method; - robust design formulation. The major focus is on the implementation of reliability-based design optimization methodologies to vehicle crash safety design. The safety optimization and robustness (SOAR) procedure has been demonstrated by vehicle side impact safety design. Two nonlinear response surface methodologies, sequential replacement second order polynomal and moving least square method, along with uniform Latin hypercube sampling method have been investigated shown to be effective. The robust design has been formulated as a reliability-based design optimization problem. The deterministic optimization, reliability-based design optimization and robust design methodologies have been discussed and demonstrated.


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    Title :

    Recent applications on reliability-based optimization of automotive structures


    Contributors:
    Gu, L. (author) / Yang, R.J. (author)


    Publication date :

    2003


    Size :

    12 Seiten, 7 Bilder, 7 Tabellen, 30 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





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    2003-01-0152 Recent Applications on Reliability-Based Optimization of Automotive Structures

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