Technical Notes
Jul 30, 2012

Time Domain Identification of Structures: Comparative Analysis of Output-Only Methods

Publication: Journal of Engineering Mechanics
Volume 139, Issue 4

Abstract

The focus of this work is on methods for modal identification of civil structures using output data only. An important family of time domain methods uses autoregressive time series models and exploits formulations developed in the field of system control. Another strategy consists of using methods well tested in the identification of structures on the basis of impulse response or free decay and extending them to the analysis of response signals generated by excitations of a more general nature. A third option refers to the Ho-Kalman minimal realization algorithm, which was extended by Akaike and Aoki to stochastic systems. These approaches, or their combinations, include a sizable proportion of the methods actually used in output-only identification of civil structures subjected to natural excitation, and most of them are based on stationarity assumptions. The question that prompted this study was as follows: what degrees of reliability and accuracy can such methods ensure when they are used, as is often the case in actual practice, in nonstationary conditions? An answer to this question was sought numerically by focusing on nonstationary conditions deemed typical of the actions naturally applied to civil structures.

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Acknowledgments

The authors thank A. Poli and A. Saettone for valuable assistance provided by the development and validation of the SDIT-3 identification code.

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Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 139Issue 4April 2013
Pages: 537 - 544

History

Received: Sep 10, 2008
Accepted: Jun 26, 2012
Published online: Jul 30, 2012
Published in print: Apr 1, 2013

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Authors

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Rosario Ceravolo, M.ASCE [email protected]
Associate Professor, Dept. of Structural, Geotechnical and Building Engineering, Politecnico di Torino, c. Duca degli Abruzzi 24, 10129 Torino, Italy (corresponding author). E-mail: [email protected]
Giuseppe Abbiati
Ph.D. Student, Dept. of Mechanical and Structural Engineering, Univ. of Trento, 38123 Trento, Italy.

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