机翼结构布局优化的并行子空间方法

机翼内部构件的布局优劣在很大程度上影响着机翼结构质量,因此进行布局优化设计尤为重要。采用并行子空间方法求解机翼结构布局优化的问题,将机翼结构布局设计问题分为梁站位优化、桁条优化和厚度优化三个并行的子空间,设计变量在各自的子空间内单独优化;各子空间优化结束后,在系统级中协调三个子空间的设计变量,保持最小质量的子空间的优化变量不变;采用近似一维搜索的方法协调其他子空间的设计变量,然后进行变量迭代直至收敛。结果表明:该方法具有较高的优化效率,能够取得较好的优化结果,具有实际工程应用价值。

Concurrent Subspace Optimization Method for Wing Layout Design

A concurrent subspace optimization method is developed for the layout design of wings. In terms of the type of variables, the design problem of structures is decomposed into three concurrent subspaces with spar location, stringer and thickness optimization. The optimization in each subspace is carried out separately to avoid the coupling of design variables. By remaining the design variables in the lightest subspace unchanged and altering two other types of variables with approximate one-dimensional search algorithm, the coordination is achieved in system level to ensure the convergence of the analysis problem. Then next iteration is executed until termination. An UAV example is solved successfully to demonstrate that the proposed method is feasible and has practical engineering value.