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Optimization and Computational Fluid Dynamics - Department of ...

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130 Nicolas R. Gauger<br />

(a)<br />

(b)<br />

Fig. 5.7 Pressure distribution <strong>of</strong> the original test case <strong>and</strong> the optimum <strong>of</strong> FD <strong>and</strong> AD<br />

for (a) Hicks-Henne <strong>and</strong> (b) cosine functions parameterization<br />

converges after nine gradient computations which are marked by a filled out<br />

square. The optimization with cosine functions converges after 13 gradient<br />

computations. The pressure distribution for both optimizations is drawn in<br />

Fig. 5.7 <strong>and</strong> the optimal geometries can be found in Fig. 5.8.<br />

As one can see, the strong shock <strong>of</strong> the original baseline geometry nearly<br />

vanished in both cases <strong>and</strong> one ends up with more than 50% decrease in<br />

drag. In contrast to the optimum with the help <strong>of</strong> Hicks-Henne functions, the<br />

optimum with cosine functions parameterization shows slight oscillations in

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