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Stacking sequence optimization of composite laminates for maximum buckling load using permutation search algorithm

机译：使用置换搜索算法的最大屈曲载荷优化复合材料叠层的堆叠顺序

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Due to the involvement of large number of design variables, it is still one of the key concerns to build an efficient optimization algorithm for the stacking sequence design of composite laminates with various constraints. In this work, the flexural stiffness parameters are expressed in terms of the ply orientations, which helps to formulate the maximum of buckling load factor as a problem of identifying the optimum ply orientation at stacking positions. Afterwards, we suggest a permutation search (PS) algorithm to reduce the evaluations in stacking sequence optimization of composite laminates. In the first stage, permutation operations are sequentially performed for each permutation position, and in the second stage a repair strategy is adopted for overcoming the violation of constraints while maximizing the value of the objective function. A comparison has been performed between the PS and three genetic algorithm (GAs) methods. It has been demonstrated that the number of process analyses for stacking sequence optimization are greatly reduced by the PS algorithm. The novel PS algorithm combined with the modified repair strategy outperforms the studied GA methods for constrained stacking sequence optimization of composite laminate both in computational performance and finding the optimal objective value with high reliability. (C) 2014 Elsevier Ltd. All rights reserved.
机译：由于涉及大量设计变量，为具有各种约束的复合层压板的堆叠顺序设计建立有效的优化算法仍然是关键问题之一。在这项工作中，抗弯刚度参数以帘布层的方向表示，这有助于将最大屈曲载荷因子公式化为确定堆叠位置处最佳帘布层方向的问题。之后，我们建议使用置换搜索（PS）算法来减少复合材料层压板堆叠顺序优化中的评估。在第一阶段，对每个置换位置顺序执行置换操作，在第二阶段，采用修复策略来克服约束的违反，同时最大化目标函数的值。 PS和三种遗传算法（GAs）方法之间进行了比较。已经证明，通过PS算法大大减少了用于堆叠序列优化的过程分析的数量。新颖的PS算法与改进的修复策略相结合，在计算性能和寻找具有高可靠性的最优目标值方面，均优于已研究的遗传算法在约束条件下优化复合材料叠层顺序。 （C）2014 Elsevier Ltd.保留所有权利。

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