[1]姚志远,汪凤泉,刘艳.工程结构模态的连续型随机子空间分解识别方法[J].东南大学学报(自然科学版),2004,34(3):382-385.[doi:10.3969/j.issn.1001-0505.2004.03.023]
 Yao Zhiyuan,Wang Fengquan,Liu Yan.Stochastic subspace identification method based on continuous model for modal parameters of engineering structures[J].Journal of Southeast University (Natural Science Edition),2004,34(3):382-385.[doi:10.3969/j.issn.1001-0505.2004.03.023]
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工程结构模态的连续型随机子空间分解识别方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
34
期数:
2004年第3期
页码:
382-385
栏目:
机械工程
出版日期:
2004-05-20

文章信息/Info

Title:
Stochastic subspace identification method based on continuous model for modal parameters of engineering structures
作者:
姚志远 汪凤泉 刘艳
东南大学土木工程学院, 南京 210096
Author(s):
Yao Zhiyuan Wang Fengquan Liu Yan
College of Civil Engineering, Southeast University, Nanjing 210096, China
关键词:
环境振动 参数识别 模态识别
Keywords:
ambient vibration parameter identification modal identification
分类号:
TH113.1
DOI:
10.3969/j.issn.1001-0505.2004.03.023
摘要:
环境振动识别方法利用结构的输出信号识别结构的模态参数,主要的识别方法有时间序列分析法、ERA(eigensystem realization algorithm)法和随机子空间法,这些方法均基于离散模型.基于连续随机子空间模型,本文给出了一种识别大型工程结构模态参数的方法.运用SVD(singular value decomposition)分解将含噪声的输出信号空间分解为信号空间和噪声空间,然后直接估计结构的模态参数.SVD分解保证了算法的鲁棒性.最后讨论了一个7层框架的理想建筑,仿真计算表明,该方法简单有效,能够使用在桥梁和建筑的健康监测和振动控制中.
Abstract:
Ambient vibration method is identification of the modal parameters for structures by the output data. Main identification methods are based on disperse space model, such as time serials analysis, ERA(eigensystem realization algorithm)method and stochastic subspace method. Based on the continuous stochastic subspace model, an identification approach was investigated to estimate structural modals under operating conditions. The output signal space was decomposed into signal space and noise space by SVD(singular value decomposition)method, then the modal parameters were estimated directly. SVD method ensured the algorithm’s robustness. Finally, a 7-story steel frame building was discussed. The numerical simulation shows that the method is of simplicity and effectiveness, and it can be used in health monitoring and vibration controlling for bridges and architectures.

参考文献/References:

[1] Ueng Jin-Min,Lin Chi-Chang,Lin Pao-Lung.System identification of torsionally coupled buildings [J].Computers and Structures,2000,74(6):667-686.
[2] Huang C S.Structural identification from ambient vibration measurement using the multivariate AR model [J].Journal of Sound and Vibration,2001,241(3):337-359.
[3] Peeters Bart,De Roeck Guido.Reference-based stochastic subspace identification for output-only modal analysis [J].Mechanical Systems and Signal Processing,1999,13(6):855-878.
[4] 姚志远,汪凤泉.基于连续模型的大型结构模态参数识别 [J].东南大学学报(自然科学版),2003,33(5):615-620.
  Yao Zhiyuan,Wang Fengquang.A method of identification of structural physical parameters based continuous time model [J].Journal of Southeast University(Natural Science Edition), 2003,33(5):615-620.(in Chinese)
[5] Unbehauen H,Rao G P.A review of identification in continuous-time systems [J].Annual Reviews in Control,1998,22:145-171.
[6] Stoica Petre,Nordsjo Anders E.Subspace-based frequency estimation in the presence of moving-average noise using decimation [J].Signal Processing,1997,63(3):211-220.
[7] Gershman Alex B,Stoica Petre.New mode-based techniques for direction finding with an improved threshold performance [J].Signal Processing,1999,76(3):221-235.
[8] Kristensson Martin,Jansson Maghus,Ottersten Bjorn.Modified IQML and weighted subspace fitting without eigendecomposition [J].Signal Processing,1999,79(1):29-44.

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备注/Memo

备注/Memo:
基金项目: 国家自然科学基金资助项目(59775022).
作者简介: 姚志远(1961—),男,博士生,副教授,yaozhi-yuan@shhu.com; 汪凤泉(联系人),男,教授,博士生导师.
更新日期/Last Update: 2004-05-20