In this paper the development of statistical metamodels and statistical fast running models is presented first. They are utilized for propagating uncertainties in a multi-discipline design optimization process. Two main types of uncertainty can be considered in this manner: uncertainty due to variability in design variables or in random parameters; uncertainty due to the utilization of metamodels instead of the actual simulation models during the optimization process. The value of the new developments and their engagement in multi-discipline design optimization is demonstrated through a case study. An underwater vehicle is designed under four different disciplines, namely, noise radiation, self-noise due to TBL excitation, dynamic response due to propulsion impact loads, and response to an underwater detonation. The case study also demonstrates the value of the multi-discipline design optimization in identifying a system level optimum, and it emphasizes the importance of including uncertainties in the design optimization process.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Uncertainty Propagation in Multi-Disciplinary Design Optimization of Undersea Vehicles


    Weitere Titelangaben:

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


    Beteiligte:
    Zhang, Geng (Autor:in) / He, Jim (Autor:in) / Vlahopoulos, Nickolas (Autor:in)

    Kongress:

    SAE World Congress & Exhibition ; 2008



    Erscheinungsdatum :

    2008-04-14


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Uncertainty Propagation in Multi-Disciplinary Design Optimization of Undersea Vehicles

    He, J. / Zhang, G. / Vlahopoulos, N. et al. | British Library Conference Proceedings | 2008


    Uncertainty propagation in multi-disciplinary design optimization of undersea vehicles

    He,J. / Zhang,G. / Vlahopoulos,N. et al. | Kraftfahrwesen | 2008


    2008-01-0218 Uncertainty Propagation in Multi-Disciplinary Design Optimization of Undersea Vehicles

    He, J. / Zhang, G. / Vlahopoulos, N. | British Library Conference Proceedings | 2008


    Uncertainty-based multi-disciplinary optimization

    Kowal, Michael / Mahadevan, Sankaran | AIAA | 1998


    EFFICIENT UNDERSEA CHARGING OF UNDERSEA AUTONOMOUS VEHICLES

    COUGHLAN DAVID R / WISNIEWSKI II STANLEY C / GARRETT LARA DENISE et al. | Europäisches Patentamt | 2021

    Freier Zugriff