基于遗传算法的地下钢筋混凝土筒仓仓壁的结构优化  

STRUCTURAL OPTIMIZATION OF UNDERGROUND REINFORCED CONCRETE SILO WALL BASED ON GENETIC ALGORITHM

作　　者：金立兵[1] 胡颍[1] 祁继鹏[1] 

机构地区：[1]河南工业大学土木建筑学院,河南郑州450001

出　　处：《河南工业大学学报（自然科学版）》2017年第3期99-102,122,共5页Journal of Henan University of Technology：Natural Science Edition

基　　金：粮食公益性行业科研专项(201413007-01)

摘　　要：地下粮仓是一种节能、节地、无污染的新型储仓结构。通过引入改进的自适应遗传算法,分析了该遗传算法的实现过程,并对地下钢筋混凝土圆形筒仓仓壁进行了结构优化。研究表明:该遗传算法的收敛速度快,优化结果可信。Underground silo is a new energy-saving, land-saving and pollution-free storage structure. In this paper, we analyzed the realization process of an improved adaptive genetic algorithm, and optimized the structure of the underground reinforced concrete silo wall. The results showed that the improved adaptive genetic algorithm had high convergence speed, and the optimization results was credible. This paper provided theoretical support for storage and other civil engineering structural optimization, and had important practical value.

关 键 词：遗传算法 结构优化 地下 混凝土 筒仓 仓壁 

分 类 号：TS210[轻工技术与工程—粮食、油脂及植物蛋白工程] TU249.2[轻工技术与工程—食品科学与工程]