Metamodeling approach has been widely used due to the high computational cost of using high-fidelity simulations in engineering design. Interpretation of metamodels for the purpose of design, especially design under uncertainty, becomes important. The computational expenses associated with metamodels and the random errors introduced by sample-based methods require the development of analytical methods, such as those for global sensitivity analysis and uncertainty propagation to facilitate a robust design process. In this work, we develop generalized analytical formulations that can provide efficient as well as accurate global sensitivity analysis and uncertainty propagation for a variety of metamodels. The benefits of our proposed techniques are demonstrated through vehicle related robust design applications.


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    Titel :

    Analytical Metamodel-Based Global Sensitivity Analysis and Uncertainty Propagation for Robust Design


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Sudjianto, Agus (Autor:in) / Jin, Ruichen (Autor:in) / Chen, Wei (Autor:in)

    Kongress:

    SAE 2004 World Congress & Exhibition ; 2004



    Erscheinungsdatum :

    08.03.2004




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :


    Analytical Metamodel-Based Global Sensitivity Analysis and Uncertainty Propagation for Robust Design

    Jin, R. / Chen, W. / Sudjianto, A. et al. | British Library Conference Proceedings | 2004


    Analytical Metamodel-Based Global Sensitivity Analysis and Uncertainty Propagation for Robust Design

    Jin, R. / Chen, W. / Sudjianto, A. et al. | British Library Conference Proceedings | 2004



    Sensitivity Analysis for Uncertainty Propagation and Robust Design

    Papadimitriou, Dimitrios I. / Papadimitriou, Costas | AIAA | 2015