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.
|Number of pages||45|
|Publication status||Published - Jun 2016|
|Event||European Congress on Computational Methods in Applied Sciences and Engineering: ECCOMAS - Creta Island, Athens, Greece|
Duration: 05 Jun 2016 → 10 Jun 2016
Conference number: VII
|Conference||European Congress on Computational Methods in Applied Sciences and Engineering|
|Abbreviated title||ECCOMAS 2016|
|Period||05/06/2016 → 10/06/2016|
Hewitt, P., Marques, S., Robinson, T., & Agarwal, D. (2016). Aerodynamic optimization using Adjoint methods and parametric CAD models. Paper presented at European Congress on Computational Methods in Applied Sciences and Engineering, Athens, Greece.