应用人工神经网络的建筑结构主动控制研究

Active Control of Building Structure Using Artificial Neural Networks

首先采用自适应B-P学习算法训练的前馈神经网络,研究了应用人工神经网络进行建筑结构主动控制的理论问题。其次具体构造了一个四层B-P网络给遭受地震荷载作用的建筑结构提供控制力。最后由单自由度系统遭受地震荷载作用时的控制算例说明所建议的方法是有效的。

A study on application of artificial neural networks(ANN) to active structural control is presented. A feedforward neural network with an adaptive back propagation training method is used in this paper. In the back propagation training, the learning rate is determined by ensuring the decrease of the total error function of the output training patterns at each training cycle. Four-layer-BP networks is constructed to produce the active force for the building structure subjected to earthquake excitation. Numerical examples of single-degree-of freedom systems under earthquake excitations are given to illustrate the effectiveness of the proposed control strategy.