噪声与振动控制2016，Vol.36Issue(2)：166-171,6.DOI:10.3969/j.issn.1006-1335.2016.02.037
基于SMA神经网络本构模型的结构地震响应控制
Structural Seismic Response Control Based on SMA Neural Network Constitutive Model
摘要
Abstract
The genetic algorithm was used to optimize the initial weight/threshold of BP neural network. The SMA (shape memdry alloy)neural network constitutive model was established, and the SMA optimal allocation was applied to a space truss structure. A Newmark-βalgorithm program was written by means of MATLAB to solve the dynamic response of the structure. The output of computation was compared with the results of shaking table test. Results show that compared with the SMA neural network constitutive curve without optimization, the optimized constitutive curve can precisely predict the superelastic restoring force of the SMA under cyclic loading. It is a rate-dependent dynamic constitutive model with high stability. After applying optimal allocation of the SMA, simulation results and experimental results of structural seismic response peaks are basically consistent mutually, and the seismic response peak has been effectively suppressed. Thus, the applicability of the SMA neural network constitutive model and the feasibility of the SMA passive control simulation based on MATLAB were verified.关键词
振动与波/遗传算法/SMA神经网络/本构模型/振动台试验/振动控制Key words
vibration and wave/genetic algorithm/SMA neural network/constitutive model/shaking table test/vibration control分类
建筑与水利引用本文复制引用
刘洋,展猛,王社良,杨涛..基于SMA神经网络本构模型的结构地震响应控制[J].噪声与振动控制,2016,36(2):166-171,6.基金项目
交通运输部应用基础研究项目（2015319G02190）；陕西省工业公关项目 （）
