Title: Methodology Investigation of Numerical Aerodynamic Shape Optimization Based on Three-Dimensional High Resolution CFD Algorithm
Abstract: A numerical aerodynamic shape optimization (NASO) system, including 3D high resolution CFD algorithm and automatic grid generation, is presented to investigate the performance of nonlinear optimization methods. Three kinds of methods,i.e. genetic algorithms (GA), direct optimization method (DOM), and the gradient of goal function based optimization method (GBOM), are compared in NASO system. Firstly it is illustrated that the GA′s computation is too large to current NASO system. Moreover, the comparisons in supersonic inlet design and transonic airfoil drag minimization show that the optimization speed of GBOM is about two times of the DOM′s. Finally, the NASO system using GBOM is successful for optimization of 3-D transonic wing, Lockheed′s AFOSR-WING-A. The optimization obtains a new wing and its ratio of lift to drag is increased by 25%.
Publication Year: 2003
Publication Date: 2003-01-01
Language: en
Type: article
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