Aerodynamic optimization using Adjoint methods and parametric CAD models

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    This paper describes an implementation of a method capable of integrating parametric, feature based, CAD models based on commercial software (CATIA) with the SU2 software framework. To exploit the adjoint based methods for aerodynamic optimisation within the SU2, a formulation to obtain geometric sensitivities directly from the commercial CAD parameterisation is introduced, enabling the calculation of gradients with respect to CAD based design variables. To assess the accuracy and efficiency of the alternative approach, two aerodynamic optimisation problems are investigated: an inviscid, 3D, problem with multiple constraints, and a 2D high-lift aerofoil, viscous problem without any constraints. Initial results show the new parameterisation obtaining reliable optimums, with similar levels of performance of the software native parameterisations. In the final paper, details of computing CAD sensitivities will be provided, including accuracy as well as linking geometric sensitivities to aerodynamic objective functions and constraints; the impact in the robustness of the overall method will be assessed and alternative parameterisations will be included.


    Original languageEnglish
    Number of pages45
    Publication statusPublished - Jun 2016
    EventEuropean Congress on Computational Methods in Applied Sciences and Engineering: ECCOMAS - Athens, Greece
    Duration: 05 Jun 201610 Jun 2016


    ConferenceEuropean Congress on Computational Methods in Applied Sciences and Engineering
    Abbreviated titleECCOMAS 2016
    Internet address

    ID: 54408657