Several surrogate models such as response surface model and radial basis function and Kriging models are developed to speed the optimization design of vehicle body and improve the vehicle crashworthiness. The error analysis is used to investigate the accuracy of different surrogate models. Furthermore, the Kriging model is used to fit the model of B-pillar acceleration and foot well intrusion. The response surface model is used to fit the model of the entire vehicle mass. These models are further used to calculate the acceleration response in B-pillar, foot well intrusion and vehicle mass instead of the finite element model in the optimization design of vehicle crashworthiness. A multi-objective optimization problem is formulated in order to improve vehicle safety performance and keep its light weight. The particle swarm method is used to solve the proposed multi-objective optimization problem. The simulation results show that the B-pillar acceleration and the foot well intrusion are reduced 4.9%, 6.31% respectively. The entire vehicle mass is reduced 4.9kg. The proposed combined surrogate models and their applications in the optimization design of vehicle crashworthiness provide an important design method and demonstrates potential application in vehicle body design.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multi Objective Optimization of Vehicle Crashworthiness Based on Combined Surrogate Models


    Additional title:

    Sae Technical Papers


    Contributors:
    Zheng, Ling (author) / Gao, Yinan (author) / Li, Yinong (author) / Zhan, Zhenfei (author)

    Conference:

    WCX™ 17: SAE World Congress Experience ; 2017



    Publication date :

    2017-03-28




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Multi Objective Optimization of Vehicle Crashworthiness Based on Combined Surrogate Models

    Zheng, Ling / Gao, Yinan / Zhan, Zhenfei et al. | British Library Conference Proceedings | 2017


    Multi Objective Optimization of Vehicle Crashworthiness Based on Combined Surrogate Models

    Zheng, Ling / Gao, Yinan / Li, Yinong et al. | Springer Verlag | 2017




    MULTI-OBJECTIVE AEROELASTIC ANALYSIS AND OPTIMIZATION USING SURROGATE MODELS

    Lunghitano, A. / Afonso, F. / Suleman, A. | TIBKAT | 2023