摘要
在面对大跨度钢结构的多台起重机协同吊装时,为了解决各种变形协调方程都不明确情况下的结构吊点设计问题,利用最小应变能原理,基于改进粒子群算法对吊点进行层次优化,即对吊点数量和布局进行综合优化.通过对标准粒子群算法进行改进并结合APDL的ANSYS二次开发技术,在MATLAB环境中编制了适应大跨度钢结构多吊点层次优化的程序,有限元软件ANSYS被后台调用求解目标函数.该方法充分发挥了有限元软件数值计算准确及粒子群算法求极值的高效性和全局性的优点,与ANSYS自带的零阶方法以及遗传算法、模拟退火算法等进化算法相比表明,本优化方法取得了较好的结果,为解决大跨度结构的吊点离散变量组合优化问题提供了一种新的更有效的途径.
To design the lift points when the various compatibility equations are undefined in multiple-crane cooperative lift oriented to large span steel structures, the particle swarm optimization is applied in hiberarchy optimization of lift points based on the minimum strain energy theory, which is to determine the comprehensive optimal strategy on numbers and distribution of lift points. A program which is developed by MATLAB suitable for optimal design of multiple lift points for large- span steel structure is developed by improving the standard particle swarm optimization and combining the secondary development technology of ANSYS using APDL, and the finite element software ANSYS is applied in the calculation of objective function in background. The accuracy of numerical computation of finite element software as well as the efficiency and overall cover of extremum computation of compared with t pa he rticle swarm optimization is fully realized. The proposed optimal method is zero-order algorithm affiliated to ANSYS software as well as other evolutionary algorithms, such as genetic algorithm and simulated annealing algorithm, and the experimental results indicate that the proposed optimal method is satisfactory and provides a more efficient new approach for discrete variable combinatorial optimization of lift points for large-span structures.
出处
《大连理工大学学报》
EI
CAS
CSCD
北大核心
2012年第5期664-669,共6页
Journal of Dalian University of Technology
关键词
大跨度钢结构
粒子群算法
吊点层次优化
离散变量
large-span steel structure
particle swarm optimization
hiberarchy optimization of lift points
discrete variables
