Optimization of a Biaxial Loading for Cruciform Specimen of Composite Based on Modified ACO
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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。Abstract: In order to study the complex stress and strain field of composite under biaxial load,a new modified AntColony 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 techniquewas 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.
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Key words:
- ant colony optimization /
- pheromone updating /
- biaxial loading /
- cruciform specimen /
- optimization
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