神经网络半主动TLCD对偏心结构的减震控制

TLCD semi-active control for irregular buildings using neural networks

本文采用在结构水平双向设置ＴＬＣＤ半主动控制装置的方法，对偏心结构在多维地震作用下的振动控制问题进行研究。首先利用多层前向神经网络，对偏心结构在双向地震输入下的两个平动方向的反应进行预测。然后在建立起半主动控制策略的基础上，利用神经网络根据控制准则调整ＴＬＣＤ的开孔率、实现对结构的半主动控制。数值结果表明，这种方法能对结构的平动反应和扭转反应都能起到较好的减震效果。

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). A back propagation Artificial Neural Network (ANN) is used to predict the responses of structure due to two-dimensional seismic inputs. The semi-active control strategy is established and implemented by ANN. The numerical examples have shown that it is an effective method presented for controlling the translational response and rotational response of irregular buildings.