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Simultaneous partial topology and size optimization of a wing structure usingant colony and gradient based methods

机译:同时使用机翼结构进行局部拓扑和尺寸优化基于蚁群和梯度的方法

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摘要

This article presents a methodology and process for a combined wingconfiguration partial topology and structure size optimization. It is aimed atachieving a minimum structural weight by optimizing the structure layout andstructural component size simultaneously. This design optimization processcontains two types of design variables and hence was divided into two sub-problems. One is structure layout topology to obtain an optimal number andlocation of spars with discrete integer design variables. Another is componentsize optimization with continuous design variables in the structure FE model. Amulti city-layer ant colony optimization (MCLACO) method is proposed and appliedto the topology sub-problem. A gradient based optimization method (GBOM) builtin the MSC.NASTRAN SOL-200 module was employed in the component sizeoptimization sub-problem. For each selected layout of the wing structure, a sizeoptimization process is performed to obtain the optimum result and feedback tothe layout topology process. The numerical example shows that the proposedMCLACO method and a combination with the GBOM are effective for solving such awing structure optimization problem. The results also indicate that significantstructural weight saving can be achieved.
机译:本文介绍了一种组合机翼配置局部拓扑和结构尺寸优化的方法和过程。它旨在通过同时优化结构布局和结构部件尺寸来实现最小的结构重量。该设计优化过程包含两种类型的设计变量,因此分为两个子问题。一种是结构布局拓扑,以使用离散的整数设计变量来获得最佳数量和位置的梁。另一个是在结构有限元模型中使用连续设计变量进行零部件尺寸优化。提出了一种城市多层蚁群优化(MCLACO)方法,并将其应用于拓扑子问题。在组件大小优化子问题中采用了基于MSC.NASTRAN SOL-200模块的基于梯度的优化方法(GBOM)。对于机翼结构的每个选定布局,执行尺寸优化过程以获得最佳结果,并反馈给布局拓扑过程。数值算例表明,所提出的MCLACO方法以及与GBOM的结合对于解决这种机翼结构优化问题是有效的。结果还表明可以显着减轻结构重量。

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