The DLR TAU code capabilities were extended for gradient-based shape optimization with free laminar-turbulent transition by incorporating the DLR \(\gamma \) transition transport model coupled to the negative Spalart-Allmaras turbulence model to its adjoint solver. The implementation was tested on the transonic airfoil RAE 2822 by comparing the outcome of different optimization approaches. The results reveal that transition must be included to avoid sub-optimal outcomes and the relevance of the selected object function on the optimization mechanism.

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Adjoint-Based Aerodynamic Shape Optimization with Free Laminar-Turbulent Transition

  • Daniela Gisele François,
  • Andreas Krumbein,
  • Cornelia Grabe

摘要

The DLR TAU code capabilities were extended for gradient-based shape optimization with free laminar-turbulent transition by incorporating the DLR \(\gamma \) transition transport model coupled to the negative Spalart-Allmaras turbulence model to its adjoint solver. The implementation was tested on the transonic airfoil RAE 2822 by comparing the outcome of different optimization approaches. The results reveal that transition must be included to avoid sub-optimal outcomes and the relevance of the selected object function on the optimization mechanism.