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基于改进遗传算法的磁流变阻尼器多目标空间 优化布置
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Multi-objective Spatial Optimization Arrangement of Magnetorheological Dampers Based on Improved Genetic Algorithm
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    为解决空间结构中阻尼器位置和数量优化问题,基于遗传算法提出一种新型编码方式——“A-B”型数字编码,实现了对阻尼器优化布置的精确定位. 推导了磁流变阻尼器(MRD)附加刚度和附加阻尼矩阵,采取H2范数优化控制理论、代间比较权重等理论提出了改进遗传算法,并采用MATLAB软件开发了多目标空间优化布置改进遗传算法程序. 以10层钢筋混凝土框剪偏心结构为例,依据规范选取7条地震波作为动力时程输入,对优化方案及3种工况下结构位移、加速度、扭转控制进行计算,并分析了不同减震指标随MRD数量变化的发展趋势. 结果表明:优化目标函数值随进化代数迅速收敛;4种工况中优化方案控制效果最佳,顶层88号节点X、Y向减震率分别达39.45%、32.68%,结构扭转得到有效控制. 算例表明了改进遗传算法的有效性,实现了对空间结构阻尼器布置的精确定位,且结构得到最优控制.

    Abstract:

    To solve the optimization problem of the position and quantity of dampers in spatial structure, a new coding method, “A-B”type digital coding, was proposed based on a genetic algorithm, which realizes the precise positioning of the optimal arrangement of dampers. The additional stiffness and damping matrix of the magnetorheological damper (MRD) were deduced, the improved genetic algorithm was proposed by adopting the H2 norm optimal control theory and the intergenerational comparison weight, and the multi-objective spatial optimization arrangement was used to develop the improved genetic algorithm program using MATLAB software. Taking a ten-story reinforced concrete frame-shear wall eccentric structure as an example, seven seismic waves were selected as dynamic time history input according to the specification, the structural displacement, acceleration, and torsion control under an optimization scheme, and three working conditions were calculated, and the development trends of different shock absorption indexes with the number of MRDs were analyzed. The results show that the value of the optimization objective function converged rapidly with the evolutionary algebra. The optimization scheme has the best control effect in the four working conditions, the shock absorption rates in the X and Y directions of the No. 88 node on the top floor reached 39.45% and 36.48%, respectively, and the structure torsion was effectively controlled. The numerical example showed the effectiveness of the improved genetic algorithm, the precise positioning of the damper arrangement of the space structure is realized, and the structure is optimally controlled.

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张香成,徐宏辉 ,赵军?,杨洋.基于改进遗传算法的磁流变阻尼器多目标空间 优化布置[J].湖南大学学报:自然科学版,2023,(5):85~94

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  • 在线发布日期: 2023-06-05
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