Aeronautic Conceptual Design Optimization Method Based on High-Order Singular Value Decomposition

摘要

An optimization method for conceptual design in aeronautics is presented that is based on a genetic algorithm. The various ingredients in the target function are calculated for each individual using surrogates of the associated technical disciplines that are constructed via high-order singular value decomposition and one-dimensional interpolation. These surrogates result from a limited number of computational fluid dynamics calculated snapshots. The resulting method is both flexible and much more computationally efficient than the conventional method based on direct calculation of the target function, especially if a large number of free design parameters and/or tunable modeling parameters are present The method is illustrated considering a simplified version of the conceptual design of an aircraft empennage.