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Experimental Investigation of MR Damper-based Semiactive Control Algorithms for Full-scale Five-story Steel Frame Building

机译:基于MR阻尼器的全五层钢框架半主动控制算法的实验研究

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In this study, the effectiveness of various semiactive control algorithms based on magnetorheological (MR) dampers is experimentally investigated for seismic protection of a full-scale five-story steel frame building structure. This may be the first experimental comparison of several semiactive control algorithms using a full-scale test structure. The MR damper-based control systems are realized, when an MR damper is designed by deriving a suboptimal design procedure considering optimization problem and magnetic analysis, and then a damper with the capacity of 1.0 ton is manufactured. In the experiments, a linear active mass driver and the linear shaker seismic simulation testing method are used to excite the building structure in order to match the full-scale building vibrate as if the building undergoes an earthquake. Under the four historical earthquakes and one filtered artificial earthquake, the performance of the semiactive control algorithms including the passive optimal case is experimentally evaluated. From the experimental results, one can conclude that the Lyapunov and semiactive neuro-control algorithms are appropriate in reducing accelerations of the structural system, and the passive optimal case and the maximum energy dissipation algorithm show the excellent performance in reducing the first floor displacement.
机译:在这项研究中,实验研究了基于磁流变(MR)阻尼器的各种半主动控制算法对全尺寸五层钢框架建筑结构的地震防护的有效性。这可能是使用全尺寸测试结构的几种半主动控制算法的首次实验比较。通过推导考虑优化问题和磁分析的次优设计程序来设计MR阻尼器,然后制造容量为1.0吨的阻尼器,从而实现了基于MR阻尼器的控制系统。在实验中,使用线性主动质量驱动器和线性振动台地震模拟测试方法来激发建筑物结构,以使其与建筑物的完整振动相匹配,就好像建筑物在遭受地震一样。在4次历史地震和1次滤波人工地震下,通过实验评估了包括被动最优情况在内的半主动控制算法的性能。从实验结果可以得出结论,Lyapunov和半主动神经控制算法适用于降低结构系统的加速度,而被动最优情况和最大能量耗散算法在降低一楼位移方面表现出优异的性能。

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