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Robust design optimization of laminated plates under uncertain bounded buckling loads

机译：不确定屈曲荷载负载下夹层板的鲁棒设计优化

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摘要

In this paper, a new systematic approach is suggested for better exploration of given uncertain buckling loads in the problem of optimal designs of hybrid symmetric laminated composites. Laminated composites are made up of 16-layered carbon-epoxy, glass-epoxy, and hybrid carbon-glass plies with discrete ply angles as design variables. In the analysis, the ply angles and the type of constituents in the laminates are varied, and one source of uncertainty, namely, uncertainty in buckling load is incorporated. In order to form nested optimization, a new improved rank-based version of Quantum-inspired Evolutionary Algorithm (QEA) is proposed and different versions of QEA and Genetic Algorithm (GA) are utilized. Using anti-optimization approach, the worst case biaxial compressive loading is obtained by Golden Section Search (GSS) method and the buckling load capacity is maximized. Numerical results of the optimal configurations are obtained under several bi-axial loading cases, panel aspect ratios, and materials. The results are investigated from different perspectives and sensitivity analyses are performed.
机译：本文提出了一种新的系统方法，以便更好地探索对混合对称层叠复合材料的最佳设计问题的给出不确定的屈曲负荷。层压复合材料由16层碳 - 环氧树脂，玻璃环氧树脂和杂种碳玻璃层组成，具有离散的帘布层作为设计变量。在分析中，层压板中的帘布层和成分的类型变化，并且结合了一个不确定的源，即屈曲负荷的不确定性。为了形成嵌套优化，提出了一种新的改进的量子启动进化算法（QEA）的基于量子的秩（QEA），并且利用了不同版本的QEA和遗传算法（GA）。采用防优化方法，最坏情况是通过金段搜索（GSS）方法获得的最坏情况的双轴压缩负载，并且屈曲负载容量最大化。在几种双轴装载案例，面板纵横比和材料下获得最佳配置的数值结果。从不同的观点调查结果，并进行敏感性分析。

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