Damage Detection in Bridge Structures under Moving Vehicle Loads Using Delay Vector Variance Method
Publication: Journal of Performance of Constructed Facilities
Volume 33, Issue 5
Abstract
This paper investigates the use of the nonlinearity of acceleration measurements to bridge damage identification. Delay vector variance (DVV) method is applied to analyze the measured dynamic responses and to identify damage to bridges under moving vehicle loads. First, the DVV algorithm and its quantification method, the vehicle-bridge coupling system, and source of nonlinearity in dynamic responses are introduced. The feasibility of this damage identification method is theoretically explained. Then numerical studies on a simply supported beam under moving vehicle loads are conducted to investigate the influence of different crack models in identifying damage. Finally, experimental studies are carried out to verify the applicability and effectiveness of the proposed method. The results show that the method can be used to identify concrete cracking damage in simply supported beam bridges under moving vehicle loads. The method has certain robustness to environmental noise, and damage identification results are not sensitive to the location of sensors.
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Acknowledgments
This work presented here is supported by the National Science Fund of China (51578370), the National Science Fund of Tianjin (16JCZDJC40300 and 16YFZCSF00460), and the Science and Technology Program of Shanghai (17DZ1204203). Any opinions, findings and conclusions or recommendations expressed in the present study are those of the authors and do not necessarily reflect those of the sponsor.
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Published In
Journal of Performance of Constructed Facilities
Volume 33 • Issue 5 • October 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Nov 15, 2018
Accepted: Jan 10, 2019
Published online: Jun 24, 2019
Published in print: Oct 1, 2019
Discussion open until: Nov 24, 2019
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