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Ph.D. Thesis Airfoil Optimization for Unsteady Flows with Application to High-Lift Noise Reduction (4.4MB) Summary: The use of steady-state aerodynamic shape optimization methods in the field of computational fluid dynamics (CFD) is fairly well established. In particular, the use of adjoint methods has proven to be very beneficial because their computational cost is independent of the number of shape design variables. However, the application of optimization methods to airframe-generated noise has not received as much attention even though airframe-generated noise competes nowadays with engine noise as modern engines have become significantly more quiet. This is especially true during aircraft approach and landing, when engines operate at reduced thrust, and airframe components such as high-lift devices are in a deployed state. In this thesis, a general framework is developed to calculate the gradient of a cost function in a nonlinear unsteady flow environment using the adjoint method. The flow is governed by the unsteady two-dimensional compressible Navier-Stokes equations (URANS) in conjunction with a one-equation turbulence model. The unsteady optimization algorithm developed in this work utilizes a Newton-Krylov approach: Newton’s method is applied to solve the nonlinear flow problem; the gradient-based optimizer uses the quasi-Newton method BFGS; and the Krylov subspace method solvers GMRES and Bi-CGSTAB are used to solve the resulting linear forward and adjoint problems, respectively. The efficacy of the unsteady optimization algorithm is demonstrated by applying it to several problems of interest including shocktubes, pulses in converging-diverging nozzles, rotating cylinders, transonic buffeting, and an unsteady trailing-edge flow. Finally, to calculate the radiated far-field noise, an acoustic wave propagation program based on the Ffowcs Williams and Hawkings (FW-H) formulation is implemented and validated. The general framework is then used to derive the adjoint equations for a novel hybrid URANS/FW-H optimization algorithm in order to optimize the shape of airfoils based on their calculated far-field noise. Validation and application results for this novel hybrid URANS/FW-H optimization algorithm show that it is possible to optimize the shape of an airfoil in an unsteady flow environment to minimize its radiated far-field noise while maintaining good aerodynamic performance.
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