通过多岛遗传算法对CFRP复合材料层合板强度和胶接接头强度进行双层迭代优化，并研究遗传算法控制参数对优化效率和优化稳定性的影响，提出兼顾CFRP复合材料层合板强度及胶接结构强度的最优铺层方式。结果表明：CFRP复合材料层合板胶接结构的剥离极限失效载荷与拉伸极限失效载荷成正比；优化设计方法可在保证层合板自身强度的前提下，提高胶接接头连接强度约14%；在铺层角度和铺层顺序被约束的情况下，CFRP复合材料铺层纤维方向为0°的铺层越靠近胶层，连接接头极限失效载荷越大；对于较快收敛的遗传算法优化问题，应采用较少的岛数、较小的交叉率和较小的变异率以保证其优化求解的稳定性。
Using a multi-island genetic algorithm(MIGA), the strength of CFRP composite laminate and the strength of the glued joint is Two-tier iteratively optimized, the influence of genetic algorithm control parameters on optimization efficiency and optimization stability is studied, and the optimal laying method that takes into account the strength of CFRP composite laminate and the strength of the glued structure is proposed. The results show that the stripping failure load of CFRP composite laminate glued structures is proportional to the tensile failure load. The proposed optimization design method can improve the connection strength of the glued joint by about 14% under the premise of ensuring the strength of the laminate itself. In the case where the layup angle and the layup order are constrained, the closer the layup of CFRP composite fabric fiber direction of 0° to the glue layer, the greater the ultimate failure load of the connecting joint. For genetic algorithm optimization problems with fast convergence, a smaller number of islands, a smaller crossover rate and a smaller rate of variation should be used to ensure the stability of the optimization solution.
2023,45(14): 33-40 收稿日期：2022-8-29
DOI：10.3404/j.issn.1672-7649.2023.14.006
分类号：U663.9
作者简介：兰佳奇(1998-),男,硕士研究生,研究方向为船舶结构。
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