Detection and Localization of Degraded Truss Members in a Steel Arch Bridge Based on Correlation between Strain and Temperature
Publication: Journal of Performance of Constructed Facilities
Volume 31, Issue 5
Abstract
Taking advantage of the structural health monitoring system installed on the steel truss arch girder of the Dashengguan Yangtze Bridge, the monitoring correlation between strain and uniform temperature at night is obtained, and then the correlation analysis of wavelet packet decomposition is carried out, which can effectively decrease the discreteness of the monitoring correlation. After that, the whole finite-element model of the Dashengguan Yangtze Bridge is simplified into one top chord member, one diagonal web member, and one bottom chord member with imposed displacement movements on the supports. The simulated correlation between static strain and temperature is calculated using the flexibility equation of force method from the simplified finite-element model, which is close to the monitoring correlation, and the first-order derivative of flexibility equation is used to remove the influence of temperature action. Furthermore, the influence of degrading axial flexibility is analyzed, showing that the linear slopes are primarily affected by the degradation of chord members , , , and , and using the monitoring data, the method of detecting and locating the aging truss members is finally put forward.
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Acknowledgments
The authors gratefully acknowledge the National Basic Research Program of China (973 Program) (No. 2015CB060000), the National Science and Technology Support Program of China (No. 2014BAG07B01), the Key Program of the National Natural Science Foundation (No. 51438002), the Program of Six Major Talent Summit Foundation (No. 1105000268), the Fundamental Research Funds for the Central Universities and the Innovation Plan Program for Ordinary University Graduates of Jiangsu Province in 2014 (No. KYLX_0156), the Scientific Research Foundation of Graduate School of Southeast University (No. YBJJ1441), and the Program for Excellent Ph.D. Thesis and Cultivation of Innovative Talents. The authors, You-Liang Ding and Gao-Xin Wang, contribute equally to this work and should be considered co-first authors.
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Information & Authors
Information
Published In
Journal of Performance of Constructed Facilities
Volume 31 • Issue 5 • October 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Nov 27, 2016
Accepted: Mar 27, 2017
Published online: Jun 15, 2017
Published in print: Oct 1, 2017
Discussion open until: Nov 15, 2017
Authors
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this article.
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