Supersonic Aircraft Optimization for Minimizing Drag and Sonic Boom
Publisher: Department of Aeronautics and Astronautics Stanford University | ISBN: N/A | edition 2003 | PDF | 152 pages | 11,3 mb
Publisher: Department of Aeronautics and Astronautics Stanford University | ISBN: N/A | edition 2003 | PDF | 152 pages | 11,3 mb
A design tool incorporating classical sonic boom theory, computational fluid dynamics and a multi-objective genetic algorithm was developed for low-boom supersonic aircraft optimization. Both sonic boom and drag were optimized simultaneously and a Pareto optimal set of designs ranging from minimum boom to minimum drag was obtained for each optimization. Since sonic boom was optimized directly, the method had broader applicability than the traditional inverse method.
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