Multi-objective optimization of curvilinear fiber shapes for laminated composite plates by using NSGA-II
Multi-objective optimization of curvilinear fiber shapes for laminated composite plates by using NSGA-II
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DOI：
10.1016/j.compositesb.2012.07.056
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发表时间：
2013-02-01
影响因子：
13.1
通讯作者：
Narita, Yoshihiro
中科院分区：
文献类型：
--
作者：
Honda, Shinya;Igarashi, Teruki;Narita, Yoshihiro
提出了一种曲线纤维复合材料板材的多目标优化设计方法。采用非支配排序遗传算法(NSGA-II)求解Pareto最优解，建立了增强纤维的力学性能与曲率之间的权衡关系。以具有蔡武破坏准则的有限宽板圆孔周围的面内强度或方板的基频为力学目标函数，以纤维曲率的平均值作为冲突目标函数。对角铺板进行了数值计算，并通过广泛分布的Pareto最优解验证了该设计方法的有效性。(C)2012爱思唯尔有限公司。保留所有权利。
A multi-objective optimization approach for fibrous composite plates with curvilinear fibers is proposed in the present study. The non-dominated sorting genetic algorithm (NSGA-II) is used to obtain Pareto-optimum solutions, where the presence of a trade-off relation between the mechanical performance and curvatures of reinforcing fibers has been established. The in-plane strength around a circular hole in a finite-width plate with Tsai-Wu failure criteria or the fundamental frequency of the square plate is the mechanical objective function, while the average value of fiber curvatures is used as the conflicting objective function. Numerical results were obtained for angle-ply plates and the effectiveness of the present design approach is demonstrated by widely distributed Pareto-optimum solutions. (c) 2012 Elsevier Ltd. All rights reserved.