
Proceedings Paper
Tracking time-varying properties of hysteretic structure by wavelet multi-resolution analysisFormat | Member Price | Non-Member Price |
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Paper Abstract
The ability of an early detection of possible damage in a structure especially when subjected to severe external loadings
is a very important research topic. Damage in a structure usually comes with nonlinear and time-varying characteristics,
such as hysteresis, that lead to time-varying structural parameters. Identification of time-varying structural parameters is
necessary for assessing the safety of these damaged structures. A time-varying system identification technique using
wavelet multi-resolution analysis is proposed in this paper. Wavelet is well known for its ability to approximate and
represent arbitrary temporal functions. By expressing the time-varying parameters in a hysteretic structure using wavelet
multi-resolution models, the problem of identification of these time-varying parameters is transformed to a time-invariant
problem that depends on solving constant wavelet coefficients. An orthogonal forward regression algorithm is
then adopted to prune insignificant wavelet coefficients while estimating those significant ones. Examples of single- and
multi-degree-of-freedom hysteretic structures with different time-varying properties are given to demonstrate the
applicability and accuracy of the proposed approach.
Paper Details
Date Published: 8 April 2008
PDF: 12 pages
Proc. SPIE 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008, 693229 (8 April 2008); doi: 10.1117/12.776516
Published in SPIE Proceedings Vol. 6932:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008
Masayoshi Tomizuka, Editor(s)
PDF: 12 pages
Proc. SPIE 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008, 693229 (8 April 2008); doi: 10.1117/12.776516
Show Author Affiliations
C. C. Chang, Hong Kong Univ. of Science and Technology (Hong Kong China)
Y. F. Shi, Hong Kong Univ. of Science and Technology (Hong Kong China)
Published in SPIE Proceedings Vol. 6932:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008
Masayoshi Tomizuka, Editor(s)
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