Blind modal identification of output-only structures in time-domain based on complexity pursuit

SUMMARY Output‐only modal identification is needed when only structural responses are available. As a powerful unsupervised learning algorithm, blind source separation (BSS) technique is able to recover the hidden sources and the unknown mixing process using only the observed mixtures. This paper pr...

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Bibliographic Details
Published in:Earthquake engineering & structural dynamics Vol. 42; no. 13; pp. 1885 - 1905
Main Authors: Yang, Yongchao, Nagarajaiah, Satish
Format: Journal Article
Language:English
Published: Chichester Blackwell Publishing Ltd 25.10.2013
Wiley
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Subjects:
Algorithms
blind source separation
Blinds
complex modes
Complexity
Earth sciences
Earth, ocean, space
Earthquakes, seismology
Engineering and environment geology. Geothermics
Engineering geology
Exact sciences and technology
Internal geophysics
Learning
Mathematical models
Modal identification
operational modal analysis
output-only modal identification
Reproduction
Seismic phenomena
seismic responses
system identification
algorithms
complex modes
output-only modal identification
mixing
simulation
coordinates
operational modal analysis
modal analysis
seismic response
seismic responses
interpretation
separation
earthquake engineering
system identification
blind source separation
ISSN:0098-8847, 1096-9845
Online Access:Get full text
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Summary:SUMMARY Output‐only modal identification is needed when only structural responses are available. As a powerful unsupervised learning algorithm, blind source separation (BSS) technique is able to recover the hidden sources and the unknown mixing process using only the observed mixtures. This paper proposes a new time‐domain output‐only modal identification method based on a novel BSS learning algorithm, complexity pursuit (CP). The proposed concept—independent ‘physical systems’ living on the modal coordinates—connects the targeted constituent sources (and their mixing process) targeted by the CP learning rule and the modal responses (and the mode matrix), which can then be directly extracted by the CP algorithm from the measured free or ambient system responses. Numerical simulation results show that the CP method realizes accurate and robust modal identification even in the closely spaced mode and the highly damped mode cases subject to non‐stationary ambient excitation and provides excellent approximation to the non‐diagonalizable highly damped (complex) modes. Experimental and real‐world seismic‐excited structure examples are also presented to demonstrate its capability of blindly extracting modal information from system responses. The proposed CP is shown to yield clear physical interpretation in modal identification; it is computational efficient, user‐friendly, and automatic, requiring little expertise interactions for implementations. Copyright © 2013 John Wiley & Sons, Ltd.
Bibliography:istex:95CCB64636D66133742614B8BFBEB2C5BB069B06
ArticleID:EQE2302
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SourceType-Scholarly Journals-1
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ISSN:0098-8847
1096-9845
DOI:10.1002/eqe.2302