Impact of Turbulence Models and Shape Parameterization on Robust Aerodynamic Shape Optimization

What is it about?

The main objective of this study is to investigate two commonly used turbulence models (SA and SST) with three different shape parameterization techniques (B-Spline curve, Hicks-Henne bump function and Free Form Deformation) in Reynolds-Averaged Navier-Stokes simulations on two-dimensional optimum design obtained with gradient-based deterministic and robust aerodynamic shape optimization in transonic, viscous, turbulent flow. Deterministic and robust optimization are performed to minimize the drag coefficient of RAE2822 airfoil at transonic flow conditions at a specied lift coefficient value. The deterministic aerodynamic design optimization is typically performed without considering the variation and the uncertainty, however robust aerodynamic shape optimization is to obtain a design, which will keep its optimum performance under varying conditions or uncertain parameters.

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