Multidisciplinary Design Exploration of Wing Shape for Silent Supersonic Technology Demonstrator

Multidisciplinary design exploration with multi-objectives has been performed for the wing shape of a silent supersonic technology demonstrator among aerodynamics, structures, and boom noise. Aerodynamic evaluation was carried out by using Euler computation on computational fluid dynamics, and composite structural evaluation was performed by using NASTRAN for strength and vibration requirements on computational structural dynamics. The intensity of sonic boom was evaluated by a modified linear theory. The optimization problem had five objective functions as the minimizations of the pressure/friction drags and the boom intensity at supersonic condition, and the composite structural weight as well as the maximization of the lift at subsonic condition. The three-dimensional wing shape defined by 58 design variables was optimized on particle swarm optimization and genetic algorithm hybrid method. In the structural evaluation, the combination optimization of stacking sequences of laminated composites was performed for in/outboard wings with strength and vibration requirements, respectively. Moreover, since the result of a multi-objective optimization problem is not a sole solution but an optimum set due to tradeoffs, data mining was performed to decide a compromise solution. Consequently, 75 non-dominated solutions were obtained. The data mining revealed the knowledge in the design space, such as the relations among the objectives, and the correlations among objectives and design variables. A compromise solution was determined through data mining.

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