Decomposition Approach for Damage Detection, Localization, and Quantification for a 52-Story Building in Downtown Los Angeles
Publication: Journal of Engineering Mechanics
Volume 146, Issue 9
Abstract
Among the most challenging problems in the field of damage detection and condition assessment in large structures is the ability to reliably detect, locate, and quantify relatively small changes in their dynamic response, based on vibration signal analysis. In this study, a substructuring approach, which uses a nonparametric identification method, was applied to simulated damage data from a high-fidelity and validated three-dimensional (3D) finite element model of a 52-story high-rise office building, located in downtown Los Angeles. Results of this study indicate that the approach not only yields identification results that match well-known global (linear) system identification methods, such as NExT/ERA, but it also provides additional benefits that global identification approaches suffer from. These benefits include: (1) enhanced sensitivity to small structural parameter changes, (2) ability to provide location information about the region in the large structure in which damage has occurred, and (3) not assuming that the underlying structure is linear. Thus, the approach is capable of detecting, quantifying, and classifying changes, when they do occur, if the actual building is subjected to strong earthquake ground motion.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from Monica D. Kholer or Anthony Massari by request. (Data for state 1, state 2, and state 3.)
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Published In
Journal of Engineering Mechanics
Volume 146 • Issue 9 • September 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: Mar 19, 2019
Accepted: Mar 4, 2020
Published online: Jun 18, 2020
Published in print: Sep 1, 2020
Discussion open until: Nov 18, 2020
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