基于遗传算法的格构增强复材夹芯板优化设计方法研究

玻璃钢/复合材料 ›› 2016, Vol. 0 ›› Issue (6): 11-15.

基于遗传算法的格构增强复材夹芯板优化设计方法研究

何涛,王璐^*,刘伟庆,万里

南京工业大学土木工程学院,南京211816

收稿日期:2016-01-12 出版日期:2016-06-28 发布日期:2016-06-28
通讯作者: 王璐(1984-),男,副教授,主要从事复合材料结构方向的研究,kevinlwang@hotmail.com。
作者简介:何涛(1993-),男,在读硕士研究生,研究方向为复合材料结构。
基金资助:
国家自然科学基金重点项目(51238003);国家自然科学基金青年基金项目(51408305);江苏省科技厅基础研究计划(自然科学基金)——青年基金项目(BK20140946)

OPTIMAL DESIGN OF SANDWICH PANELS WITH GFRP FACE SHEETS ANDA FOAM-WEB CORE BASED ON GENETIC ALGORITHM

HE Tao, WANG Lu^*, LIU Wei-qing, WAN Li

College of Civil Engineering, Nanjing Tech University, Nanjing 211816, China

Received:2016-01-12 Online:2016-06-28 Published:2016-06-28

摘要/Abstract

摘要： 格构增强复材夹芯板在土木工程领域已得到广泛应用,然而工程优化设计尚未得到解决。基于现有的格构增强复材夹芯板受力性能,提出了基于遗传算法的优化设计方法,并在此基础上对其建设成本进行优化计算。最后与已投入使用的格构增强泡沫复材夹芯板相比较,结果表明,在满足承载力的前提下,相比于原构件,优化后的构件建设成本显著降低,经济效益得以提升。

关键词: 复合材料夹芯板, 格构增强, 成本优化, 遗传算法

Abstract: The composite sandwich panels with GFRP face sheets and a foam-web core (GFFW panels) have been widely used in the structural engineering. However, It is well known that there is lack of the effective optimal design of composite sandwich members. In order to address this issue, an optimal design method was established to decrease the construction cost in this study by the use of genetic algorithms. Finally, compared to the existing GFFW panels, the construction cost of GFFW panel optimized via genetic algorithms exhibits much more economic efficiency.

Key words: composite sandwich panel, web reinforced, cost optimization, genetic algorithms

中图分类号:

TB332

何涛,王璐,刘伟庆,万里. 基于遗传算法的格构增强复材夹芯板优化设计方法研究[J]. 玻璃钢/复合材料, 2016, 0(6): 11-15.

HE Tao, WANG Lu, LIU Wei-qing, WAN Li. OPTIMAL DESIGN OF SANDWICH PANELS WITH GFRP FACE SHEETS ANDA FOAM-WEB CORE BASED ON GENETIC ALGORITHM[J]. Fiber Reinforced Plastics/Composites, 2016, 0(6): 11-15.

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