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The Artificial Bee Colony algorithm in layer optimization for the maximum fundamental frequency of symmetrical laminated composite plates

机译:层合最优化的人工蜂群算法用于对称层合复合板的最大基频

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摘要

In this study the layer optimization was carried out for maximizing the lowest (first) fundamental frequency of symmetrical laminated composite plates subjected to any combination of the three classical boundary conditions, and the applicability of the Artificial Bee Colony (ABC) algorithm to the layer optimization was investigated. The finite element method was used for calculating the first natural frequencies of the laminated composite plates with various stacking sequences. The ABC-algorithm maximizes the first natural frequency of the laminated composite plate defined as an objective function. The optimal stacking sequences were determined for two layer numbers, twenty boundary conditions and two plate length/width ratios. The outer layers of the composite plate had a stiffness increasing effect, and as the number of clamped plate edges was increased both the stiffness and natural frequency of the plate increased. The optimal stacking sequences were in good agreement with those determined by the Ritz-based layer wise optimization method (Narita 2003: J. Sound Vibration 263 (5), 1005-1016) as well as by the genetic algorithm method combined with the finite element method.
机译:在这项研究中,进行了层优化,以使对称层压复合材料板的最低(第一)基频在三种经典边界条件的任意组合下达到最大化,并且人工蜂群(ABC)算法在层优化中的适用性被调查了。有限元法被用于计算具有不同堆叠顺序的层压复合板的第一固有频率。 ABC算法使定义为目标函数的层压复合板的第一固有频率最大化。确定了两个层数,二十个边界条件和两个板长/宽比的最佳堆叠顺序。复合板的外层具有增加刚度的作用,并且随着夹板边缘数量的增加,板的刚度和固有频率均增加。最佳堆叠顺序与基于Ritz的分层智能优化方法(Narita 2003:J. Sound Vibration 263(5),1005-1016)以及通过遗传算法与有限元组合确定的顺序一致方法。

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