摘要
针对空间结构振动抑制问题,基于经典遗传算法提出改进算法,进行阻尼器的位置寻优和数量寻优.通过对变异概率的调节,增强了改进算法跳出局部陷阱的能力,使之可准确找到全局最优解.通过提高编码效率、筛选初始种群分布等有效措施提高了算法收敛速度.所构造的适应度函数,可实现阻尼器杆件数量和位置的同步寻优.对影响结构振动抑制的各参数进行数值分析,并以空间网壳结构为例,利用改进遗传算法进行寻优计算和结果讨论,得出在一定荷载条件下空间网格结构阻尼器杆件的优化布置规律.
An improved genetic algorithm was put forward to study the quantity and placement optimization of energy absorbing dampers for wind-induced vibration reduction of space reticulated structures (SRS). In the algorithm, the new fitness function is constructed and both the quantity optimization and optimal placement of energy absorbing dampers can be carried out simultaneously. And the algorithm can result in faster search and higher computational precision by adjusting the mutation probability, high effective cod- ing and control distribution of the initial population. In addition, the influence on the wind-induced vibra- tion reduction of SRS caused by some parameters was analyzed. Finally, based on the algorithm, a series of computation and comparison on the quantity optimization and optimal placement for SRS were given and some conclusions were reached.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2007年第6期955-959,共5页
Journal of Shanghai Jiaotong University
基金
国家自然科学基金资助项目(10572091)
上海市基础研究重点项目(04JC14059)
关键词
空间网格结构
遗传算法
耗能阻尼器
位置和数量寻优
space reticulated structure
genetic algorithm
energy absorbing damper
quantity and placement optimization