摘要
新颖又古老的互承型结构的形状生成是其广泛应用的首要亟待解决问题.介绍了影响构型的基本参数,任意参数的变化均会造成整体形状的改变,致使传统建模方法无法有效实现这种结构模型的生成.通过对基本单元分析,探索了以遗传算法为代表的群体随机搜索方法和以Broyden-Fletcher-Goldfarb-Shanno(BFGS)拟牛顿法为代表的单点搜索优化方法解决互承结构形状生成问题的有效性.算例表明后者对指定构型及参数的互承结构成形具有更高的效率.
Reciprocal structure is an old but novel structural form,of which the foremost problem remained to be solved for wide-range utilization is the morphogenesis.Primary parameters associated with configuration were introduced,and any change in one parameter could lead to morphological variation of the whole structure,which obstructed the traditional modeling techniques to be used.To solve this problem,a typical unit was analyzed.A population-based stochastic search algorithm,genetic algorithm and a point-based quasi-Newton method using Broyden-Fletcher-Goldfarb-Shanno（BFGS）were employed to investigate the morphogenesis of reciprocal structure.Case studies demonstrate the better efficiency of the latter algorithm in morphogenesis.
出处
《空间结构》
CSCD
北大核心
2016年第3期17-26,共10页
Spatial Structures
关键词
互承型结构
遗传算法
BFGS
拟牛顿法
形状生成
reciprocal structures
genetic algorithm
BFGS
quasi-Newton method
morphogenesis
