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Using genetic algorithm for the optimization of seismic behavior of steel planar frames with semi-rigid connections

机译:用遗传算法优化半刚性连接钢平面框架的抗震性能

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Beam-column connections have a significant role in the results of the analysis and the design of steel frames. In this paper, a genetic algorithm has been used for the non-linear analysis and design of steel frames. For minimizing the weight of frames, while satisfying the applied constraints and restraints such as the limits of normal and combined stresses, criteria such as target displacement(s) and the number and locations of plastic hinges were used. To analyze and design the frame elements, I and box-shaped standard sections were used for beams and columns, respectively. Finally, some clues for finding optimizing semi-rigid connection stiffness values for beam-to-column connections have been obtained. The degrees of these rigidities are obtained by a genetic algorithm during the procedure of optimization in order to reach a frame with the minimum weight. SAP2000 structural analysis program was used to perform modal analysis and linear and non-linear static solutions as well as the design of the elements. A MATLAB program was written for the process of optimization. The procedure of optimization was based on a weight minimization carried out for 9 steel frames. Thus, the optimum connection stiffness could be obtained for minimizing the weight of the structure. The results show that the non-linear analysis gives less weight for short period frames with semi-rigid connections compared to those of linear ones. However, by increasing the periods of frames, much less weights are obtained in the case of non-linear analysis with semi-rigid connections.
机译:梁柱连接在钢框架的分析和设计结果中起着重要作用。本文将遗传算法用于钢框架的非线性分析和设计。为了最小化框架的重量,在满足所施加的约束和约束(例如法向应力和组合应力的极限)的同时,使用了诸如目标位移以及塑料铰链的数量和位置之类的标准。为了分析和设计框架元素,分别将I型和箱形标准截面用于梁和柱。最后,已经获得一些线索,可以找到用于梁到柱连接的最佳半刚性连接刚度值。这些刚性的程度是通过遗传算法在优化过程中获得的,以达到具有最小重量的框架。 SAP2000结构分析程序用于执行模态分析,线性和非线性静态解以及单元设计。为优化过程编写了一个MATLAB程序。优化过程基于对9个钢框架进行的重量最小化。因此,可以获得最佳的连接刚度以最小化结构的重量。结果表明,与线性模型相比,对于半刚性连接的短周期框架,非线性分析的权重较小。但是,通过增加帧的周期,在使用半刚性连接进行非线性分析的情况下,获得的权重要少得多。

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