基于智能算法的磁流变阻尼器位置优化

为了控制20层Benchmark建筑在地震作用下的非线性地震反应,采用改进的遗传算法确定MR阻尼器的优化设置位置.将标准遗传算法的遗传操作作相应改进,并进行给定数量的MR阻尼器优化配置的数值仿真分析,解决多约束非线性整数优化问题.结果表明,采用改进的遗传算法进行MR阻尼器位置设置优化后的半主动控制,能有效地降低结构在地震荷载作用下的响应,进一步提高了平均控制效果.

Optimal Placement of MR Dampers Based on Intelligent Algorithm

The paper presents a new method for identifying the optimal MR damper distribution to control the seismic response of a 20-story benchmark building.An improved algorithm of Genetic Algorithm(GA) was successfully used to solve the nonlinear integer optimal problem with multi-constraint.In order to avoid the constraint violations caused by general optimization algorithms,some evolution rules are modified to standard GA.A numerical simulation is made based on the method to identify the optimal placement of MR dampers which can be set up at repeated locations.The results obtained from numerical simulations of the nonlinear benchmark building show that,the damper configurations evaluated herein performed well in terms of reducing the seismic response in comparison to the uncontrolled building.Compared with the case of un-optimized placement,the case of optimized based on improved GA can efficiently improve the control effect.