Structural Optimization of Composite Wing Based on Different Blending Models Using Genetic Algorithm

Abstract

In previous studies guide-based blending including inner and outer blending has been found to be an efficient way to deal with large composite optimization problem considering structural integrity. A new blending model named generalized blending based on genetic algorithm for composite optimization is presented. First, On the basis of region division, a length-control indicator is introduced to decide the covered regions of each ply for the generalized blending model. Also, the master-slave parallel genetic algorithm (GA) is adopted to decrease optimization time. Finally, the three blending models are used for a large composite wing optimization. The result shows that the three optimal designs are manufacturable and the generalized blending model has more design freedom in blending designs.