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Shock and Vibration
Volume 17 (2010), Issue 6, Pages 697-721
http://dx.doi.org/10.3233/SAV-2010-0516

Experimental Studies on Damage Detection in Frame Structures Using Vibration Measurements

Giancarlo Fraraccio,1 Adrian Brügger,2 and Raimondo Betti3

1Università degli Studi di Roma La Sapienza, Dipartimento di Ingegneria Strutturale e Geotecnica, Via Eudossiana, 18, 00184 Roma, Italy
2Department of Civil Engineering and Engineering Mechanics, Columbia University, 636A S. W. Mudd Building, 500 West 120th Street, New York, NY, USA
3Department of Civil Engineering and Engineering Mechanics, Columbia University, 640 S. W. Mudd Building, 500 West 120th Street, New York, NY, USA

Received 2 August 2007; Revised 4 August 2009

Copyright © 2010 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper presents an experimental study of frequency and time domain identification algorithms and discusses their effectiveness in structural health monitoring of frame structures using acceleration input and response data. Three algorithms were considered: 1) a frequency domain decomposition algorithm (FDD), 2) a time domain Observer Kalman IDentification algorithm (OKID), and 3) a subsequent physical parameter identification algorithm (MLK). Through experimental testing of a four-story steel frame model on a uniaxial shake table, the inherent complications of physical instrumentation and testing are explored. Primarily, this study aims to provide a dependable first-order and second-order identification of said test structure in a fully instrumented state. Once the characteristics (i.e. the stiffness matrix) for a benchmark structure have been determined, structural damage can be detected by a change in the identified structural stiffness matrix. This work also analyzes the stability of the identified structural stiffness matrix with respect to fluctuations of input excitation magnitude and frequency content in an experimental setting.