Dynamic reduction-based structural damage detection of transmission tower utilizing ambient vibration data

被引:87
作者
Yin, T. [1 ]
Lam, H. F. [1 ]
Chow, H. M. [1 ]
Zhu, H. P. [2 ]
机构
[1] City Univ Hong Kong, Dept Bldg & Construct, Kowloon, Hong Kong, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Civil Engn & Mech, Wuhan 430074, Peoples R China
关键词
Structural damage detection; Model reduction; Ambient vibration; Transmission tower; EIGENSYSTEM REALIZATION-ALGORITHM; ARTIFICIAL NEURAL-NETWORKS; SYSTEM-IDENTIFICATION; WAVELET TRANSFORM; MODEL-REDUCTION; PHASE-I; FREQUENCY; DESIGN; SENSITIVITY; EXCITATION;
D O I
10.1016/j.engstruct.2009.03.004
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper reports a feasibility study of utilizing ambient vibration data measured from a limited number of sensors in the structural damage detection of transmission towers, which are large-scaled three-dimensional spatial structures. To develop a practical and efficient structural damage detection methodology, the characteristics of transmission towers are considered in the development stage, including the most common types of damage, accessible locations for installing sensors, the technique needed to identify a reliable set of modal parameters utilizing ambient vibration data, a method to divide the transmission tower into sub-structures for structural damage detection, a way to formulate the damage detection problem, and the corresponding solution method. The proposed methodology is numerically verified by simulated noisy data from a three-dimensional transmission tower sample under both single and multiple damage cases. Very encouraging results are obtained, showing that the proposed methodology can identify the damaged sub-structure by estimating the 'equivalent' stiffness reduction even in the presence of both measurement noise and modeling error. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2009 / 2019
页数:11
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