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

STRUCTURAL CONTROL & HEALTH MONITORING(2017)

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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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关键词
blind modal identification,non-classical damping,time-frequency distribution,unsupervised machine learning,generalized eigenvalue decomposition,non-stationary excitation
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