Minimization of sonic boom on supersonic aircraft using an evolutionary algorithm
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abstract
The aerospace community has an increasing interest in developing super sonic transport class vehicles for civil aviation. One of the concerns in such a project is to minimize the sonic boom produced by the aircraft as demonstrated by its ground signature. This paper describes an effort to develop an automatic method for designing the aircraft area distributions that satisfies constraints on the ground signature noise levels. In this work, a genetic algorithm is used to perform the design optimization. A modified version of Whitham's theory is used to generate the near field pressure signature. The ground signature is computed with the NFBOOM atmospheric propagation code. Results indicate that genetic algorithms are effective tools for solving the design problem presented. 2003 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
