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Simultaneous optimization of stacking sequences and sizing with two-level approximations and a genetic algorithm

机译：同时优化堆垛顺序并通过两级近似和遗传算法确定尺寸

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摘要

Laminated composites have widespread applications in aerospace structures, and optimization of corresponding stacking sequences is indispensable. A genetic algorithm (GA) using a two-level approximation method was proposed previously to determine the optimal stacking sequences with significantly low computational costs. In practical structures, composite laminates are usually assembled with other components, such as honeycomb or metal panels or stiffened beams. Together with stacking sequences, the cross-sectional dimensions of these components need to be considered simultaneously. Thus, in the present study, this proposed method is extended to solve this problem. A new optimization model is firstly established by involving both stacking sequence and sizing variables. Within a single procedure, the genetic algorithm is used to solve a first-level approximate problem which includes both types of variables, while a second-level approximate problem is addressed for the individual fitness calculations. Numerical applications are presented to demonstrate the efficacy of this optimization strategy. (C) 2014 Elsevier Ltd. All rights reserved.
机译：层压复合材料在航空航天结构中具有广泛的应用，并且优化相应的堆叠顺序是必不可少的。先前提出了一种使用两级近似方法的遗传算法（GA），以确定具有显着较低的计算成本的最佳堆叠序列。在实际结构中，复合层压板通常与其他组件组装在一起，例如蜂窝或金属面板或加劲梁。与堆叠顺序一起，需要同时考虑这些组件的横截面尺寸。因此，在本研究中，该提出的方法被扩展以解决该问题。首先通过涉及堆叠顺序和尺寸变量来建立新的优化模型。在单个过程中，遗传算法用于解决包括两种类型的变量的第一级近似问题，而第二级近似问题则针对单个适应度计算进行了处理。数值应用表明了该优化策略的有效性。 （C）2014 Elsevier Ltd.保留所有权利。

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