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Fuzzy neural network based TLCD semi-active control methodology for irregular buildings

机译:基于模糊神经网络的TLCD半主动控制方法

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In this paper, the control approach to irregular building excited by multi-dimensional earthquake ground motions is presented by using semi-active tuned liquid column damper (TLCD). The principle of fuzzy neural network (FNN) based on the Takagi-Sugeno model is firstly discussed. And then, the mechanical model of a multi-story irregular structure-TLCD system is given and its equation of motion is derived. The semi-active control strategy is established and implemented by FNN. The numerical examples have shown that it is an effective method proposed for controlling the translational response and rotational response of irregular buildings.
机译:本文提出了一种利用半主动调谐液柱阻尼器(TLCD)对多维地震地震动激发的不规则建筑物的控制方法。首先讨论了基于Takagi-Sugeno模型的模糊神经网络(FNN)的原理。然后,给出了多层不规则结构TLCD系统的力学模型,并推导了其运动方程。半主动控制策略是由FNN建立和实施的。数值算例表明,它是一种有效的方法,用于控制不规则建筑物的平移响应和旋转响应。

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