Assessment of Existing Structures Based on Identification
Publication: Journal of Structural Engineering
Volume 136, Issue 1
Abstract
A nondestructive damage detection approach based on measured structural responses is presented and verified by controlled laboratory experiments and by tests on real structures. In the experiments, defined magnitudes of damages are assigned to reinforced concrete beams, and the dynamic responses of the undamaged and damaged specimens are measured. The measured frequencies of the specimens and their sensitivity to change in mechanical characteristics, called sensitivity factors, are used to predict the location and the magnitude of the damage. The damage locations associated with the investigated test series are predicted with high accuracy by the proposed identification approach. This approach has been applied to real structures, including an existing bridge in Switzerland. In order to provide successful damage detection in cases where the damage does not affect or only marginal affects dynamic structural characteristics, the approach has been extended to handle simultaneous multiple structural response characteristics, such as frequencies, and modal and static displacements. The identification approach satisfies ease-of-use requirements in existing reliability assessment methods for deteriorating structures. The main purposes of this paper are to (1) present the proposed identification algorithm; (2) discuss the adjustment of the stochastic algorithm inputs, such as cross-sectional stiffness, geometrical, and mechanical properties, by monitored structural responses; and (3) present the interaction between the developed identification algorithm and the stratified Monte Carlo randomization technique, thus allowing the application of the algorithm to large engineering structures. Additionally, it is shown that the developed code is suitable for incorporation into commercial software packages.
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Acknowledgments
This research was conducted with the financial support of the AutoBrennero Motor Highway A22, Italy, within the project “SARA M.” The writers acknowledge the contribution of Professor D. Novák, Professor B. Teply, and Dr. D. Lehký from the Technical University Bruno, Dr. V. Cervenka and Dr. R. Pukl from Cervenka Consulting, and Dr. U.S. Anta from the AutoBrennero Motor Highway. Part of this investigation was performed during summers 2006 and 2007 when the first writer visited the University of Colorado at Boulder and Lehigh University to work in the research group led by the second writer. The support of the National Science Foundation to the second writer through Grant Nos. NSFCMS-0638728 and NSFCMS-0639428 is also gratefully acknowledged. The opinions and conclusions presented in this paper are those of the writers and do not necessarily reflect the views of the sponsoring organizations.
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Information
Published In
Journal of Structural Engineering
Volume 136 • Issue 1 • January 2010
Pages: 86 - 97
Copyright
© 2010 ASCE.
History
Received: Jan 22, 2007
Accepted: Aug 24, 2009
Published online: Dec 15, 2009
Published in print: Jan 2010
Notes
Note. Associate Editor: Ahmet Emin Aktan
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