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基于遗传算法的索梁体系调值优化
Adjustment optimization of cable-beam system using genetic algorithms
【摘要】 合理确定主动索预张拉力值是索梁结构设计的重要内容。鉴于索梁体系的复杂非线性与逆迭代法的繁琐性,提出一种基于遗传算法的索梁体系调值优化方法。该方法联合使用Ansys与Matlab,将APDL作为建模平台,负责模型的建立与目标函数的计算;将Matlab遗传算法工具箱作为优化工具,负责自变量的优化,通过数据交换使两个软件交互运行以实现调值优化。最后,通过算例验证了该方法的可行性。
【Abstract】 It’s important to determinate the prestress of active cable reasonably in the design of cable-beam structure. Considering the complex nonlinear of cable-beam system and the complicated of inverse iteration method,a genetic algorithm based analysis procedure was developed for adjustment optimization of a cable-beam system. The APDL code was used to build the model and calculate the objective function. The Matlab GA toolbox was used to optimize the independent variable. Dynamic data exchange was used to transfer output data from Ansys to Matlab in order to realize the adjustment optimization. At last,two examples were presented to demonstrate the efficiency of the approach.
【Key words】 genetic algorithms; cable-beam system; adjustment calculation; APDL; Matlab;
- 【文献出处】 四川建筑科学研究 ,Sichuan Building Science , 编辑部邮箱 ,2016年02期
- 【分类号】TU399
- 【被引频次】4
- 【下载频次】120