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Determination of Optimal Configuration for Mega Bracing Systems in Steel Frames using Genetic Algorithm

机译:用遗传算法确定钢框架巨型支撑系统的最佳构型

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摘要

Mega bracing is one of the recently emphasized methods for lateral bracing of structures. In the present study, various configurations of mega bracing systems in terms of installation angle for lateral bracing of steel structures are evaluated and optimized. The investigated frames are designed and optimized using genetic algorithm (GA) according to LRFD-AISC (load and resistance factor design, american institute of steel construction). Frame analysis is carried out by means of finite element method, while optimization is conducted using GA considering three different types of selection and crossover, simultaneously. The results demonstrate that the optimum angle of mega bracing in steel frames is within the range of 36 degrees to 42 degrees with regard to the frame height and span. Furthermore, with increase in frame height, the employment of optimally distributed mega braces along the height of the frame results in reduction of story drifts and also the frame weight. Additionally, simultaneous utilization of various selection and crossover types in GA optimization leads to an increase in convergence rate of optimum weight of the frame as well as reduction in the required computations.
机译:巨型支撑是近来强调的结构横向支撑方法之一。在本研究中,就钢结构的横向支撑的安装角度而言,对大型支撑系统的各种配置进行了评估和优化。根据LRFD-AISC(载荷和阻力系数设计,美国钢结构学会),使用遗传算法(GA)对研究的框架进行了设计和优化。框架分析是通过有限元方法进行的,而优化是使用GA进行的,同时考虑了三种不同类型的选择和交叉。结果表明,相对于框架高度和跨度,钢框架中大型支撑的最佳角度在36度至42度的范围内。此外,随着框架高度的增加,沿框架高度使用最佳分布的巨型支撑可减少故事漂移,并减少框架重量。另外,在GA优化中同时利用各种选择和交叉类型会导致帧的最佳权重的收敛速度增加,并减少所需的计算。

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