计算力学学报2019，Vol.36Issue(1)：77-82,6.DOI:10.7511/jslx20170912002
地震作用下高层建筑结构的分散神经网络振动控制研究
Decentralized neural networks vibration control of tall buildings under earthquakes
摘要
Abstract
Vibration control of tall buildings under earthquakes based on the neural networks is studied.By combining the neural network theory and the decentralized control strategy, an algorithm named Decentralized Neural Networks Control (DNNC) is been presented for the seismic response control of tall buildings.The structural model is built by using multilayer feedforward neural network to predict the structural vibration response.The BP neural network controller is designed on the basis of Nonlinear Auto-Regressive Moving Average (NARMA) mode to study the effectiveness of the DNNC which is then compared with that of Centralized Neural Networks Control (CNNC).The performance of control strategies of a typical 20-floor seismically excited building is analyzed the performance of the control strategies.The results indicate that the DNNC strategy could simplify the structure of the neural networks and effectively mitigate structural seismic response and eliminate the time delay of the control system.It is also more reliable in ensuring the real-time response of vibration control system.关键词
高层建筑/地震反应/神经网络/分散控制Key words
tall building/seismic action/neural network/decentralized control分类
数理科学引用本文复制引用
汪权,韩强强,王肖东,袁加伟..地震作用下高层建筑结构的分散神经网络振动控制研究[J].计算力学学报,2019,36(1):77-82,6.基金项目
国家自然科学基金 (51408178) 资助项目. （51408178）
