磁流变阻尼器结构被动控制的多目标优化与仿真分析
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摘要
将MR阻尼器作为被动耗能装置使用,对不同位置的阻尼器施加不同的控制电压,控制电压的大小由多目标遗传算法NSGA-Ⅱ确定。对一装有MR阻尼器的3层框架结构分别输入峰值调整为0.25g的ElCentro波、Kobe波,Hachinohe波和Northridge波进行仿真分析。结果表明,优化方案对位移和加速度的控制都明显优于passive-off方案,对位移的控制效果与passive-max接近,对加速度的控制优于passive-max方案。
Using MR damper as passive energy dissipation device, give different voltage to the different MR damper, the magnitude of the voltage is generated by the multi-objective GA, NSGA-Ⅱ. A 3-story frame structure equipped with MR damper on every floor is investigated, El Centro earthquake, Kobe earthquake, Hachinohe earthquake and Northridge earthquake are used to excite the system. The result of the simulation shows, the proposed strategy is more effective in reducing both the displacement and the acceleration than the passive-off strategy, it's efficiency in reducing the displacement is similar to the passive-max strategy but higher in the reduction of the acceleration.
引文
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