Aerodynamic Shape Optimization of Two-dimensional Airfoils Under Uncertain Conditions
INSTITUTE FOR COMPUTER APPLICATIONS IN SCIENCE AND ENGINEERING HAMPTON VA
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Practical experience with airfoil optimization techniques has revealed unexpected difficulties. Traditionally the performance of an airfoil is optimized for given, or assumed, model parameters. Experience has indicated that a deterministic optimization for discrete operating conditions may result in dramatically inferior performance when the actual conditions are difficulties different from these, somewhat arbitrarily chosen, design values. Extensions to multi-point optimization have proven unable to adequately remedy the problem of localized optimization. This paper presents an intrinsically statistical approach and demonstrates how the shortcomings of multi-point optimization with respect to localized optimization can be overcome.