Support stiffness;
Genetic algorithm;
Integral lifting;
Lifting height difference;
Probabilistic design analysis;
OPTIMUM DESIGN;
STEEL FRAMES;
OPTIMIZATION;
TOPOLOGY;
D O I:
10.1016/j.jcsr.2015.04.024
中图分类号:
TU [建筑科学];
学科分类号:
0813 ;
摘要:
The optimum analysis for Railway Station Building of Yujiapu (a shell-shaped single-layer reticulated shell structure) was conducted based on genetic algorithm. An elitist genetic algorithm was used by combining Matlab and a general finite element software ANSYS. Analysis was firstly conducted to study the influence of temperature load on support reaction force, then the optimal combination of support stiffness to minimize the effects of temperature load was derived by using GA. Subsequently, probabilistic design analysis was conducted for the integral lifting process and the key lifting points which influence the stress of lifting zone significantly was derived, at the same time the probability distribution model of lifting height difference was established and validated. Finally, the same genetic algorithm was adopted to optimize the combination of lifting height difference, the maximum stress of lifting zone will be reduced obviously by using the computed results. The efficiency and applicability of GA in optimization of complex structures were demonstrated in this paper. (C) 2015 Elsevier Ltd. All rights reserved.