Damage Identification and Optimal Sensor Placement for Structures under Unknown Traffic-Induced Vibrations
Publication: Journal of Aerospace Engineering
Volume 30, Issue 2
Abstract
This paper proposes a damage-identification and optimal sensor-placement approach for structures under unknown traffic-induced vibrations. Response reconstruction is performed for structures under traffic-induced vibrations to formulate the relationship between different sets of time-domain responses. Measured acceleration responses from a structure under traffic-induced ground motions are used for damage identification with a sensitivity-based iterative model updating method. Numerical simulations on a seven-story planar frame structure are conducted to verify the performance of the proposed approach. Damage identification is conducted based on the initial finite-element model of the structure and the measured responses from the damaged state under traffic-induced vibrations. Structural elemental stiffness factors are iteratively updated until the reconstructed responses match the measured ones as closely as possible. A two-phase optimal sensor-placement scheme is proposed for better response reconstruction and subsequent damage identification. Optimal sensor placement is investigated to identify the best locations for response reconstruction and sensitivity-based damage identification. With the use of optimal sensor locations, the introduced damages can be identified effectively and accurately with nearly exact damage severity estimation and very small false positives and false negatives under a 5% noise effect.
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Acknowledgments
The work described in this paper was supported by Australian Research Council Discovery Early Career Researcher Award DE140101741 “Development of a Self-powered Wireless Sensor Network from Renewable Energy for Integrated Structural Health Monitoring and Diagnosis.” Financial support from Curtin University Office of Research and Development is also appreciated.
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Published In
Journal of Aerospace Engineering
Volume 30 • Issue 2 • March 2017
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Jan 26, 2015
Accepted: Jul 17, 2015
Published online: Sep 24, 2015
Discussion open until: Feb 24, 2016
Published in print: Mar 1, 2017
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