[1]常军,张启伟,孙利民.随机子空间方法在桥塔模态参数识别中的应用[J].地震工程与工程振动,2006,26(05):183-187.
　Chang Jun,Zhang Qiwei,Sun Limin.Application of stochastic subspace identification in modal parameter identification of bridge tower[J].EARTHQUAKE ENGINEERING AND ENGINEERING DYNAMICS,2006,26(05):183-187.
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随机子空间方法在桥塔模态参数识别中的应用
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《地震工程与工程振动》[ISSN:/CN:]

卷:
26
期数:
2006年05期
页码:
183-187
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Application of stochastic subspace identification in modal parameter identification of bridge tower
作者:
常军1; 2;  张启伟1;  孙利民1
1. 同济大学土木工程防灾国家重点实验室, 上海200092;
2. 苏州科技学院管理科学与工程系, 江苏 苏州215011
Author(s):
Chang Jun1; 2;  Zhang Qiwei1;  Sun Limin1
1. State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China;
2. Department of Urban Management, University of Science and Technology of Suzhou, Suzhou 215011, China
关键词:
随机子空间; 环境振动; 参数识别; 南京长江三桥; 桥塔; 动力特性; 模态分析
Keywords:
stochastic subspace identification; ambient vibration; parameter identification; Third Nanjing Changjiang River Bridge; bridge tower; dynamic characteristics; modal analysis
分类号:
U441;P315.964
摘要:
基于环境振动的结构模态参数识别方法正逐渐成为国内外研究的一大热点。环境振动方法就是仅仅利用结构测试的输出信号进行结构的模态参数识别,随机子空间方法就是其中的一种。随机子空间法是近年来发展起来的一种线性系统辩识方法,可以有效地从环境激励的结构响应中获取模态参数。它属于时域的方法,该方法不需要进行FFT变换,它不仅可以识别结构的频率,而且可以识别结构的阻尼和振型。文章首先介绍了随机子空间的理论,然后用该方法对正在施工中的南京长江三桥的南塔进行模态参数识别,通过与其他方法的识别结果进行比较,证明随机子空间方法不
Abstract:
Structural modal parameter identification under ambient vibration is becoming the main research area.The main point of this method is identifying structural parameter by only the ambient excited output response signals.Stochastic subspace identification is just one of the approaches.It is a novel approach developed in recent years.It can identify the structural modal parameters by ambient vibration.Stochastic subspace identification is a time domain method,and can identify the frequency and damping ratio and mode at same time without FFT.The main theory of this approach is introduced at first.Then the modal parameters of the south bridge tower of the Third Nanjing Changjiang River Bridge are identified by stochastic subspace identification.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2005-6-27;改回日期:2006-1-20。
基金项目:国家973项目(2002CB412709)
作者简介:常军(1973- ),男,讲师,博士,主要从事健康监测与振动控制.
更新日期/Last Update: 1900-01-01