Optimisation of vehicle design is necessary to meet increased safety requirements, new emission regulations, and to deal with competition in the global market, etc. However, optimised design using classical optimisation techniques with deterministic models might not meet the desired performance level or might fail in extreme events in real life owing to uncertainties in the design parameters and loading conditions. Consequently, it is essential to account for uncertainties in a systematic manner to generate a robust and reliable design. In this paper, an approach to perform multiobjective, reliability-based, and robust design optimisation is presented using a vehicle side impact crashworthiness application. Metamodels have been used in the optimisation process to decrease computational effort. Variations in material properties, thicknesses, loading conditions, and B-pillar heat-affected zone material strength have been considered for the stochastic optimisation. A comparative study of deterministic, reliability-based, and robust optimisation approaches is performed.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multiobjective reliability-based and robust design optimisation for crashworthiness of a vehicle side impact




    Publication date :

    2015



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    Local classification TIB:    275/4530/7025
    BKL:    55.20 / 55.20 Straßenfahrzeugtechnik




    Multi-objective robust optimisation for crashworthiness during side impact

    Sinha, Kaushik / Krishnan, Ramanathan / Raghavendra, D. | Tema Archive | 2007



    Reliability-based design optimization for crashworthiness of vehicle side impact

    Youn, B.D. / Choi, K.K. / Yang, R.J. et al. | Tema Archive | 2004