This paper presents a nonlinear response surface-based safety optimisation and robustness process. The stepwise regression and optimal Latin hyper cube sampling methods are employed to construct the 'efficient-to-compute' surrogate model. A sequential quadratic programming method with mixed types of variables is employed for the design optimisation. A reliability based design optimisation model for robust system parameter design of vehicle safety is proposed and a Monte Carlo based stochastic simulation is used to perform the robustness assessment and the reliability-driven robust design. The methodology has been applied to the vehicle crash safety design of side impact. It shows that a vehicle weight can be significantly reduced with an improved safety performance and with a higher level of confidence. CAE simulation is used to validate the optimal results.


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    Title :

    Optimization and robustness for crashworthiness of side impact


    Additional title:

    Optimierung und Robustheit des aufprallgerechten Pkw-Modells bei einem Seitenaufprall


    Contributors:
    Gu, L. (author) / Yang, R.J. (author) / Tho, C.H. (author) / Makowski, M. (author) / Faruque, O. (author) / Li, Y. (author)

    Published in:

    Publication date :

    2001


    Size :

    13 Seiten, 2 Bilder, 9 Tabellen, 15 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





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    Optimization of side impact bar for crashworthiness

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    Robustness evaluation crashworthiness simulation results

    Will, Johannes / Stelzmann, Uli | Tema Archive | 2007