A multi-disciplinary optimization analysis is a highly iterative process that requires a large number of function evaluations for computing the objective functions and the constraints. Metamodels (i.e. response surface methodologies) can be constructed before starting the optimization for each one of the objective functions and the constraint functions. The metamodels can be employed in the multi-discipline optimization instead of high fidelity simulations resulting in significant computational savings. A multi-discipline design optimization of an aircraft wing under aerodynamic and structural analysis considerations is performed in this manner. Design variables associated with the shape of the wing are considered in the CFD simulations, while sizing structural design variables are considered in the structural discipline. At the top system level, a cost type metric is defined for driving the overall design optimization process. The validity of employing the metamodels instead of the actual solvers during the optimization is demonstrated by ensuring that when actual solvers are used for computations at the optimal point all constraints are satisfied and all objective functions are improved at the expected levels.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Utilization of Response Surface Methodologies in the Multi-Discipline Design Optimization of an Aircraft Wing


    Weitere Titelangaben:

    Sae Technical Papers


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

    Kongress:

    SAE World Congress & Exhibition ; 2009



    Erscheinungsdatum :

    2009-04-20




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Utilization of response surface methodologies in the multi-discipline design optimization of an aircraft wing

    He,J. / Vlahopoulos,N. / Michigan Engng.Services,US et al. | Kraftfahrwesen | 2009



    Cross Validation of Aerodynamic Shape Optimization Methodologies for Aircraft Wing-Body Optimization

    Reist, Thomas A. / Koo, David / Zingg, David W. et al. | AIAA | 2020


    Flexible transonic wing design optimization with discipline-oriented decompositions

    Dallaire, Jonathan / Tribes, Christophe / Trepanier, Jean-Yves | AIAA | 2007


    Multidisciplinary Multi-Point Optimization Design of Transport Aircraft Wing

    Yuchao, L. I. / Chanying, Q. I. | Springer Verlag | 2024