Blind modal identification of non-classically damped structures under non-stationary excitations

被引:21
|
作者
Ghahari, S. F. [1 ]
Abazarsa, F. [1 ]
Taciroglu, E. [1 ]
机构
[1] Univ Calif Los Angeles, Civil & Environm Engn Dept, Los Angeles, CA 90095 USA
来源
关键词
blind modal identification; non-classical damping; time-frequency distribution; unsupervised machine learning; generalized eigenvalue decomposition; non-stationary excitation; JOINT DIAGONALIZATION; ALGORITHM; EARTHQUAKE; SEPARATION; FRAMEWORK;
D O I
10.1002/stc.1925
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In the present paper, we extend a previously developed blind modal identification method to systems with non-classical damping, which have complex-valued mode shapes. Unlike conventional output-only identification methods, blind modal identification method can provide modal property estimates when the input excitations are unknown and non-stationary (e.g., for systems equipped with added dampers or soil-structure problems). In earlier work, we have developed a technique that can be used for non-classically damped systems, but it is only applicable to stationary (i.e., ambient) excitations. Herein, we present an extension to non-classically damped systems under non-stationary (e.g., seismic) excitations. The proposed method yields mode shapes, natural frequencies and damping ratios, sequentially. A critical ingredient in this new method is a combination of generalized eigen-decomposition and rough-fuzzy c-means clustering techniques, which are employed to identify the complex-valued mode shapes. The accuracy of the proposed method is verified through a simulated but realistic example. Copyright (c) 2016 John Wiley & Sons, Ltd.
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页数:21
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