The testing of reliability of automobile components is an important factor in the design procedure since it investigates the probability of automobile components successfully completing their design requirements. It goes without saying that problems of safety and reliability arise because of uncertainty in design. The quantification and analysis of uncertainty are, therefore, central issues in the evaluation of reliability and the development of associated reliability-based optimisation. Reliability-based design and reliability-based optimisation design utilises reliability theory to deal with uncertainties. In order to achieve some desired level of reliability, the proper reliability-based optimisation method and its applications are, of course, required. This paper focuses on an extention of the probabilistic perturbation method for reliability-based optimisation. Using the perturbation method, the reliability-based design theory and optimal design technique, a numerical method for reliability-based optimisation of automobile components was proposed. The approach used in evaluating the reliability of automobile components was the most probable point perturbation method (MPPPM). The statistical techniques and methods are illustrated in this paper. Two examples are used to demonstrate the approach. The results compared well with those obtained from the Monte Carlo simulation (MCS).


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    Title :

    Reliability-based optimisation of automobile components


    Additional title:

    Zuverlässigkeitsbasierte Optimierung von Kraftwagenbauteilen


    Contributors:


    Publication date :

    2005


    Size :

    12 Seiten, 2 Bilder, 14 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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