In structural design optimization, it is challenging to determine the optimal dimensions and material for each component simultaneously. Material selection of each part is always formulated as a categorical design variable in structural optimization problems. However, it is difficult to solve such mixed-variable problems using the metamodelbased strategy, because the prediction accuracy of metamodels deteriorates significantly when categorical variables exist. This paper investigates two different strategies of mixed-variable metamodeling: the “feature separating” strategy and the “all-in-one” strategy. A supervised learning-enhanced cokriging method is proposed, which fuses multi-fidelity information to predict new designs’ responses. The proposed method is compared with several existing mixed-variable metamodeling methods to understand their pros and cons. These methods include Neural Network (NN) regression, Classification and Regression Tree (CART) and Gaussian Process (GP). This study provides insights and guidance on the establishment of proper metamodels for multi-material structural design problems.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Towards Optimization of Multi-material Structure: Metamodeling of Mixed-Variable Problems


    Weitere Titelangaben:

    Sae Int. J. Mater. Manf
    Sae International Journal of Materials and Manufacturing


    Beteiligte:
    Chuang, Ching-Hung (Autor:in) / Xu, Hongyi (Autor:in) / Yang, Ren-Jye (Autor:in)

    Kongress:

    SAE 2016 World Congress and Exhibition ; 2016



    Erscheinungsdatum :

    05.04.2016


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Towards Optimization of Multi-Material Structure: Metamodeling of Mixed-Variable Problems

    Xu, Hongyi / Chuang, Ching-Hung / Yang, Ren-Jye | British Library Conference Proceedings | 2016



    Optimization on metamodeling-supported iterative decomposition

    Hajikolaei, Kambiz Haji | Online Contents | 2016


    Use of Adaptive Metamodeling for Design Optimization

    Martin, Jay / Simpson, Timothy | AIAA | 2002


    Multiresponse and Multistage Metamodeling Approach for Design Optimization

    Chen, Shikui / Xiong, Ying / Chen, Wei | AIAA | 2009