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Investigating the optimal passive and active vibration controls of adjacent buildings based on performance indices using genetic algorithms

机译:基于性能指标的遗传算法研究相邻建筑物的最佳被动和主动振动控制

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This study proposes the optimal passive and active damper parameters for achieving the best results in seismic response mitigation of coupled buildings connected to each other by dampers. The optimization to minimize the H-2 and H-infinity norms in the performance indices is carried out by genetic algorithms (GAs). The final passive and active damper parameters are checked for adjacent buildings connected to each other under El Centro NS 1940 and Kobe NS 1995 excitations. Using real coded GA in H-infinity norm, the optimal controller gain is obtained by different combinations of the measurement as the feedback for designing the control force between the buildings. The proposed method is more effective than other metaheuristic methods and more feasible, although the control force increased. The results in the active control system show that the response of adjacent buildings is reduced in an efficient manner.
机译:这项研究提出了最佳的被动和主动阻尼器参数,以在通过阻尼器相互连接的耦合建筑物的减震响应中获得最佳结果。通过遗传算法(GA)进行优化以使性能指标中的H-2和H-无穷大范数最小。在El Centro NS 1940和Kobe NS 1995激励下,检查相互连接的相邻建筑物的最终被动和主动阻尼器参数。使用H-无穷范数中的实数编码GA,可以通过测量的不同组合获得最佳控制器增益,作为设计建筑物之间控制力的反馈。尽管控制力增加了,但提出的方法比其他元启发式方法更有效,更可行。主动控制系统的结果表明,相邻建筑物的响应以有效的方式降低了。

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