A study of variability and applicability of various signal processing techniques in structural system identification

The structural responses and vibration properties such as frequencies and mode shapes are directly related to the structural mass and stiffness. Changing structural conditions will affect the structural responses and vibration properties. Structural conditions can thus be identified through measurem...

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Main Authors: Bao, C., Hao, Hong, Li, Z.
Format: Journal Article
Published: Institution of Engineers, Australia 2013
Subjects:
Online Access:http://search.informit.com.au/documentSummary;res=IELENG;dn=221343621591034
http://hdl.handle.net/20.500.11937/35380
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author Bao, C.
Hao, Hong
Li, Z.
author_facet Bao, C.
Hao, Hong
Li, Z.
author_sort Bao, C.
building Curtin Institutional Repository
collection Online Access
description The structural responses and vibration properties such as frequencies and mode shapes are directly related to the structural mass and stiffness. Changing structural conditions will affect the structural responses and vibration properties. Structural conditions can thus be identified through measurements of structural vibration. However, certain uncertainties associated with structure models, changing ambient environmental conditions, changing loading conditions, equipment noises and various signal processing techniques used in extracting structural vibration properties, etc. is inevitable. The influences of these uncertainties on structural vibration properties might be more significant than that of the structural damage, therefore, cause false identification or result in the true structural damage not identifiable. This paper studies the applicability and reliability of a few popularly used modal identification methods including time-domain, frequency-domain and time-frequency domain methods for civil structural system identification. The results indicate that on average a 2% to 3% error tends to be yielded by using different signal processing techniques for vibration frequencies identification when the signal is not heavily noise contaminated, which should be taken into account when estimating the damage detection results. The applicability of the time-frequency domain methods to the identification of time-varying system either with sudden change or continuous variance is also discussed.
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spelling curtin-20.500.11937-353802017-01-30T13:49:22Z A study of variability and applicability of various signal processing techniques in structural system identification Bao, C. Hao, Hong Li, Z. Vibration-based system identification Variability and applicability study Time-frequency domain methods Frequency-domain methods Time-varying system Time-domain methods The structural responses and vibration properties such as frequencies and mode shapes are directly related to the structural mass and stiffness. Changing structural conditions will affect the structural responses and vibration properties. Structural conditions can thus be identified through measurements of structural vibration. However, certain uncertainties associated with structure models, changing ambient environmental conditions, changing loading conditions, equipment noises and various signal processing techniques used in extracting structural vibration properties, etc. is inevitable. The influences of these uncertainties on structural vibration properties might be more significant than that of the structural damage, therefore, cause false identification or result in the true structural damage not identifiable. This paper studies the applicability and reliability of a few popularly used modal identification methods including time-domain, frequency-domain and time-frequency domain methods for civil structural system identification. The results indicate that on average a 2% to 3% error tends to be yielded by using different signal processing techniques for vibration frequencies identification when the signal is not heavily noise contaminated, which should be taken into account when estimating the damage detection results. The applicability of the time-frequency domain methods to the identification of time-varying system either with sudden change or continuous variance is also discussed. 2013 Journal Article http://hdl.handle.net/20.500.11937/35380 http://search.informit.com.au/documentSummary;res=IELENG;dn=221343621591034 Institution of Engineers, Australia restricted
spellingShingle Vibration-based system identification
Variability and applicability study
Time-frequency domain methods
Frequency-domain methods
Time-varying system
Time-domain methods
Bao, C.
Hao, Hong
Li, Z.
A study of variability and applicability of various signal processing techniques in structural system identification
title A study of variability and applicability of various signal processing techniques in structural system identification
title_full A study of variability and applicability of various signal processing techniques in structural system identification
title_fullStr A study of variability and applicability of various signal processing techniques in structural system identification
title_full_unstemmed A study of variability and applicability of various signal processing techniques in structural system identification
title_short A study of variability and applicability of various signal processing techniques in structural system identification
title_sort study of variability and applicability of various signal processing techniques in structural system identification
topic Vibration-based system identification
Variability and applicability study
Time-frequency domain methods
Frequency-domain methods
Time-varying system
Time-domain methods
url http://search.informit.com.au/documentSummary;res=IELENG;dn=221343621591034
http://hdl.handle.net/20.500.11937/35380