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首页> 外文期刊>Journal of Global Optimization >Optimization of laminated composite plates for maximum fundamental frequency using Elitist-Genetic algorithm and finite strip method
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Optimization of laminated composite plates for maximum fundamental frequency using Elitist-Genetic algorithm and finite strip method

机译:用Elitist-Genetic算法和有限条法优化层压板的最大基频

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摘要

In the present paper, fundamental frequency optimization of symmetrically laminated composite plates is studied using the combination of Elitist-Genetic algorithm (E-G A) and finite strip method (FSM). The design variables are the number of layers, the fiber orientation angles, edge conditions and plate length/width ratios. The classical laminated plate theory is used to calculate the natural frequencies and the fitness function is computed with a semi-analytical finite strip method which has been developed on the basis of full energy methods. To improve the speed of the optimization process, the elitist strategy is used in the Genetic algorithm. The performance of the E-GA is also compared with the simple genetic algorithm and shows the good efficiency of the E-GA algorithm. A multi-objective optimization strategy for optimal stacking sequence of laminated box structure is also presented, with respect to the first natural frequency and critical buckling load, using the weighted summation method to demonstrate the effectiveness of the E-GA. Results are corroborated by comparing with other optimum solutions available in the literature, wherever possible.
机译:本文结合Elitist-Genetic算法(E-GA)和有限条带法(FSM),研究了对称层压复合板的基频优化问题。设计变量是层数,纤维取向角,边缘条件和板长/宽比。使用经典的叠层板理论来计算固有频率,并使用基于全能量方法开发的半解析有限条法来计算适应度函数。为了提高优化过程的速度,遗传算法中采用了精英策略。 E-GA的性能也与简单遗传算法进行了比较,显示了E-GA算法的良好效率。针对第一自然频率和临界屈曲载荷,提出了一种多层箱体结构最佳堆叠顺序的多目标优化策略,并通过加权求和方法证明了E-GA的有效性。通过与文献中可用的其他最佳解决方案进行比较来证实结果。

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