摘要
利用RBF神经网络对建筑结构地震反应进行预测,设计了加入MR阻尼器的RBF神经网络半主动控制系统,利用Matlab进行仿真分析,结果表明该控制方案能够有效减少建筑结构的地震反应,并且很好的发挥了MR阻尼器的可控性。
Seismic response of building structure is predicted using RBF NN. RBF NN semi-active control system is then designed. The simu- lation results by Matlab show that the this method can reduce the seismic response of building structure and make the best of the controllable characteristics of MR damper.
出处
《山西建筑》
2010年第8期87-88,共2页
Shanxi Architecture
关键词
磁流变阻尼器
径向基函数神经网络
半主动控制
建筑结构
magneto-rheological damper, Radial Basis Function Neural Network, SO,hi-active control, building structure
