摘要
为研究复合材料在双向加载情况下的应力应变特性,基于蚁群算法对双向加载试验中的十字形试件进行优化设计。考虑信息素更新对全局最优解有较大的依赖性,对编码方式和信息素更新公式进行了改进,并通过典型算例对改进后的蚁群算法准确性进行了验证。最后根据复合材料十字形试件设计要求,利用改进蚁群算法与FEM参数化建模相结合的方法对十字形进行了优化设计。由优化结果可知,优化后的试验区应变场均匀度有了很大提高,且优化迭代过程较快。
In order to study the complex stress and strain field of composite under biaxial load, a new modified Ant Colony Optimization （ACO） is proposed in this paper for shape and size optimization of composite cruciform speci- men. Due to the strong dependence of global best value in the iterations and special requirements of specimen de- sign, the ant＇s move method and pheromone updating strategy were modified, and a classical example was also em- ployed to demonstrate validation and versatility of the modified algorithm. A FEM parametric modeling technique was coupled with the modified ACO so as to optimize the geometry of composite cruciform specimen. The optimiza- tion result shows that a uniform strain field is obtained in the test zone and the convergence process of the optimiza- tion is quick.
出处
《机械科学与技术》
CSCD
北大核心
2013年第3期462-468,共7页
Mechanical Science and Technology for Aerospace Engineering
关键词
蚁群算法
信息素更新
双向加载
十字形试件
优化设计
ant colony optimization
pheromone updating
biaxial loading
cruciform specimen
optimization
