.png){kind=icon}
返回
Substructural first- and second-order model identification for structural damage assessment
.png){kind=icon}
PRE
AI
DOI：10.1002/eqe.500.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents two methods to perform system identification at the substructural level, taking advantage of reduction in the number of unknowns and degrees of freedom (DOFs) involved, for damage assessment of fairly large structures. The first method is based on first-order state space formulation of the substructure where the eigensystem realization algorithm (ERA) and the observer/Kalman filter identification (OKID) are used. Identification at the global level is then performed to obtain the second-order model parameters. In the second method, identification is performed at the substructural level in both the first- and second-order model identification. Both methods are illustrated using numerical simulation studies where results indicate their significantly better performance than identification using the global structure, in terms of efficiency and accuracy. A 12-DOF system and a fairly large structural system with 50 DOFs are used where the effects of noisy data are considered. In addition to numerical simulation studies, laboratory experiments involving an eight-storey frame model are carried out to illustrate the performance of the proposed method. The identification results presented in terms of the stiffness integrity index show that the proposed methodology is able to locate and quantify damage fairly accurately. Copyright (c) 2005 John Wiley & Sons, Ltd.
Keyword:
system identification
damage assessment
structural dynamics
substructure
numerical analysis
experiment
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
E
IF:
5
论文数:
3.7K
被引数:
1.8W
机构
暂无机构信息
引用论文
The Double-Fed Induction Motor Both Stator and Rotor Voltages Controlled by Cycloconverters.png)
EPE Journal
EPE JournalIF0
PREAI
分享收藏分享收藏
查看更多内容