[1]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):617-620.[doi:10.3969/j.issn.1001-0505.2003.05.018]
 Yao Zhiyuan,Wang Fengquan.Method of identification of a structural physical parameters- based continuous time model[J].Journal of Southeast University (Natural Science Edition),2003,33(5):617-620.[doi:10.3969/j.issn.1001-0505.2003.05.018]
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基于连续模型的大型结构模态参数识别()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
33
期数:
2003年第5期
页码:
617-620
栏目:
机械工程
出版日期:
2003-09-20

文章信息/Info

Title:
Method of identification of a structural physical parameters- based continuous time model
作者:
姚志远 汪凤泉
东南大学土木工程学院,南京 210096
Author(s):
Yao Zhiyuan Wang Fengquan
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.1001-0505.2003.05.018
摘要:
基于连续时间模型,利用导数的近似值代替导数值,运用最小二乘法估计结构参数.讨论了导数近似值的选择方法,并分析了算法的收敛性.研究了结构环境激励下结构物理参数的识别方法.通过仿真计算表明,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:
An identification approach was researched, it estimated structural physical parameters via ambient excitation. This approach was to replace the derivative operator in the continuous time model by an approximation and estimation of the physical parameters of structures by the least-squares method. Choice of approximations was discussed, and convergence of the approach was analyzed. The numerical results show that the method is of simple and effective, and it can be used in health monitoring and vibration controlling for bridges and architecture.

参考文献/References:

[1] 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.
[2] Ueng Jinmin,Lin Chichang,Lin Paolung.System identification of torsionally coupled buildings[J]. Computers and Structures,2000,74:667-686.
[3] Unbehauen H,Rao G P.A review of identification in continuous-time systems [J].Annual Reviews in Control,1998,22:145-171.
[4] Söderström Torsten,Fan H,Carlsson Bengt.Least squares parameter estimation of continuous time ARX models from discrete-time data [J]. IEEE Transaction on Automatic Control,1997, 42(5):659-673.
[5] Larsson Erik K,Söderström Torsten.Identification of continuous-time processes from unevenly sampled data [J]. Automatica,2002, 38:709-718.

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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; 汪凤泉(联系人),男,教授,博士生导师.
更新日期/Last Update: 2003-09-20