| 改进随机子空间系统辨识方法及其在桥梁状态监测中的应用 |
| |
| 引用本文： | 樊可清,倪一清,高赞明.改进随机子空间系统辨识方法及其在桥梁状态监测中的应用[J].中国公路学报,2004,17(4):70-73. |
| |
| 作者姓名： | 樊可清 倪一清 高赞明 |
| |
| 作者单位： | 1. 五邑大学,信息学院,广东,江门,529020
2. 香港理工大学,土木及结构工程学系,香港 |
| |
| 摘 要： | 为了提高基于振动参数识别的大型斜拉、悬索桥梁在线状态监测系统在灾害天气发生时,评价和预报桥梁状态的实时性。根据随机子空间模态参数辨识方法的特点以及在线数据采集与状态评价过程对参数辨识的要求,利用递推算法构造TOEPLITZ矩阵,减少辨识过程中的重复运算量达到缩短运算时间的目的。该算法在香港汀九大桥状态监测系统数据处理中应用的结果表明,运算时间能够满足台风天气情况下对桥梁状态评价实时性的要求。
|
| 关 键 词： | 桥梁工程 系统辨识 递推算法 状态监测 随机子空间 |
| 文章编号： | 1001-7372(2004)04-0070-04 |
| 修稿时间： | 2003年12月11 |
Improved stochastic system identification approach with its application in bridge condition monitoring |
| |
| FAN Ke-qing,NI Yi-qing,GAO Zan-ming.Improved stochastic system identification approach with its application in bridge condition monitoring[J].China Journal of Highway and Transport,2004,17(4):70-73. |
| |
| Authors: | FAN Ke-qing NI Yi-qing GAO Zan-ming |
| |
| Institution: | FAN Ke-qing~1,NI Yi-qing~2,GAO Zan-ming~2 |
| |
| Abstract: | The goal of research work depicted in the paper is to improve the real-time property when an online condition monitoring system evaluates the instant health condition and performance of a long span cable-supported bridge suffering disaster weather.Based on the characteristics of stochastic subspace modal parameters identification method and the demands to parameter identification phase by condition evaluating work with online data acquisition system,a recursion approach creating TOEPLITZ matrix is proposed to decrease overlapped computation and shorten computation time.Satisfying real-time property is shown in an application of the approach to process real world data from an monitoring system of Hong Kong Ting Kau Bridge under typhoon weather. |
| |
| Keywords: | bridge engineering system identification recursive algorithm condition monitoring stochastic subspace |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
