基于ANFS的MR智能基础隔震地震反应分析
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摘要
为了研究MR智能基础隔震结构的抗震性能,建立了该混合控制结构的力学模型,橡胶垫隔震层采用双线型恢复模型描述其弹塑性特性。运用自适应神经网络模糊系统(ANFS)计算MR阻尼器的控制力,在SIMULINK环境下对控制结构进行仿真动力分析,并对具体结构进行地震作用下的时程反应分析,仿真分析表明:自适应神经网络模糊系统可以有效地应用到结构控制中,并证实了MR基础隔震结构是一种性能优异的智能控制系统。
In order to study the performance of intelligent base-isolated structure with MR damper for suppressing the seismic response,the numerical model of the hybrid control system was established.And the bilinear hysteretic model was applied to simulate the hysteretic characteristics of the rubber bearing isolation cushion.ANFS controller was designed to calculate the force of the MR damper.The simulink method was adopted to solve the dynamic differential equations.Based on the seismic dynamic time history respone of some specific structures,simulated analysis demonstrates that ANFS is efficient in the structural active control and the intelligent base-isolated system becomes a practical and useful control system.
引文
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