基于遗传算法的型钢混凝土框架理想失效模式优化
doi: 10.13204/j.gyjz201507031
OPTIMIZATION OF THE IDEAL FAILURE MODEL OF SRC FRAME BASED ON GENETIC ALGORITHM
-
摘要: 基于Open SEES建立型钢混凝土框架理想失效模式(梁铰破坏机制)状态下梁、柱参数关系的数学约束表达式,满足构件几何尺寸及JGJ 1382001《型钢混凝土结构设计规范》要求的约束条件,通过ANSYS建立被优化结构的参数化模型,调用遗传算法对结构进行工程造价最小化、失效模式理想化多目标优化。通过优化算例叙述具体优化过程,并将优化结果与原方案进行经济效益对比分析。最后探讨优化模型权重系数、遗传算法参数设置对优化结果的影响。Abstract: Based on the OpenSEES software,the expressions of the constraints between the parameters of beam and column under the desired failure mode of SRC frame structure ( beam hinge failure mechanism) were set up. The optimal objective of the parametric model was realized by a program ANSYS and the genetic algorithm was chosen to optimize the multi-objective optimization model of the minimum cost and ideal failure mode. The specific process of optimization would be given through an engineering example,meanwhile the comparison and analysis of optimization results with original scheme would be made on economic benefits. At last,the effect of weighting coefficient and genetic algorithm parameter settings on the optimization result of optimal model was discussed.
-
Key words:
- SRC /
- ideal failure mode /
- genetic algorithm /
- multi-objective optimization
点击查看大图
计量
- 文章访问数: 118
- HTML全文浏览量: 6
- PDF下载量: 113
- 被引次数: 0