High-fidelity computational modeling and optimization of aircraft configurations have the potential to enable engineers to create more efficient designs that require fewer unforeseen modifications late in the design process. Although aerodynamic shape optimization has the potential to produce high-performance transonic wing designs, these designs remain susceptible to buffet. To address this issue, a separation-based constraint formulation is developed that constrains buffet onset in an aerodynamic shape optimization. This separation metric is verified against a common buffet prediction method and validated against experimental wind-tunnel data. A series of optimizations based on the AIAA Aerodynamic Design Optimization Discussion Group’s wing–body–tail case are presented to show that buffet-onset constraints are required and to demonstrate the effectiveness of the proposed approach. Although both single-point and multipoint optimizations without separation constraints are vulnerable to buffeting, the optimizations using the proposed approach move the buffet boundary to make the designs feasible.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Buffet-Onset Constraint Formulation for Aerodynamic Shape Optimization


    Beteiligte:

    Erschienen in:

    AIAA Journal ; 55 , 6 ; 1930-1947


    Erscheinungsdatum :

    2017-04-24


    Format / Umfang :

    18 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Physics-Based Data-Driven Buffet-Onset Constraint for Aerodynamic Shape Optimization

    Li, Jichao / He, Sicheng / Zhang, Mengqi et al. | AIAA | 2022



    Aerodynamic Shape Optimization of the CRM Configuration Including Buffet-Onset Conditions (AIAA 2016-1294)

    Kenway, Gaetan K. / Martins, Joaquim | British Library Conference Proceedings | 2016


    Aerodynamic Buffet Onset Boundary Estimation of a Jet Trainer Aircraft

    Yüksel, Ali Oğuz / Kandemir, Ömer / Uğur, Levent et al. | AIAA | 2023