This study presents a hybrid approach to integrate the comprehensive sensitivity analysis method, support vector machine technology, modified non-dominated sorting genetic algorithm-II method and the technique for order preference by similarity to ideal solution, which have been applied to multi-objective lightweight optimization of the B-pillar structure of an automobile. First, numerical models of the static–dynamic stiffness and the crashworthiness performance of automobile are established and validated by experimental testing. Then, the comprehensive sensitivity analysis method is used to define the final optimization variables. Experimental design and support vector machine based surrogate model techniques are introduced to establish the approximate model; subsequently, the modified non-dominated sorting genetic algorithm-II algorithm is applied to the multi-objective lightweight optimization design of the B-pillar structure, and the non-dominated solution set is determined. The principal component analysis method is applied to determine the weight of each objective. Finally, the technique for order preference by similarity to ideal solution method is used to rank Pareto front from best to worst to obtain the optimal solution; furthermore, a comparison between the original model and optimized design denotes that the mass of the B-pillar being reduced by 22.55% under the other impacting indicators is well guaranteed. Therefore, the proposed hybrid approach provided promising prospects in the lightweight and crashworthiness optimization application of the B-pillar.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A multi-objective optimization approach for simultaneously lightweighting and maximizing functional performance of vehicle body structure


    Beteiligte:
    Wang, Dengfeng (Autor:in) / Wang, Shuang (Autor:in) / Xie, Chong (Autor:in)


    Erscheinungsdatum :

    2020-06-01


    Format / Umfang :

    17 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    A Multi-Disciplinary Optimization Approach for Lightweighting and Performance Improvement of Electric Light Commercial Vehicle

    Gumma, Muralidhar / Durgam, Padmaja / Kukkillaya U, Saketh et al. | SAE Technical Papers | 2024



    Mass decompounding and vehicle lightweighting

    Verbrugge, Mark / Lee, Theresa / Krajewski, Paul et al. | Tema Archiv | 2009



    Lightweighting with iron

    Kraftfahrwesen | 2013