Abstract

Stay cables are vital load-bearing components of cable-stayed bridges that are prone to corrosion and fatigue. Damaged or deteriorated cables can endanger the safety of bridges. In this paper, a performance alarming method for stay cables based on a frequency–deformation relationship (FDR) model is proposed. First, the FDR model, which represents a normal relationship between the frequency and the deformation of a certain intact cable, was established according to the stress–strain relationship of the cable. Second, the performance alarming for a stay cable was realized by constructing a mean value control chart for the estimation error of the baseline FDR model, followed by an implementation procedure for the early warning method. Last, the long-term monitoring data of a large-span bridge are utilized to validate the effectiveness of the performance alarming method. The results demonstrate that the modeling and prediction capabilities of the proposed FDR model are satisfactory and that the performance alarming for stay cables can be carried out effectively by the proposed method.

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Acknowledgments

This research work was jointly supported by the National Natural Science Foundation of China (Grant Nos. 51978128 and 52078100).

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Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 27Issue 9September 2022

History

Received: Nov 30, 2021
Accepted: May 11, 2022
Published online: Jul 12, 2022
Published in print: Sep 1, 2022
Discussion open until: Dec 12, 2022

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Ph.D. Candidate, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China. ORCID: https://orcid.org/0000-0003-4261-7108. Email: [email protected]
Ting-Hua Yi, M.ASCE [email protected]
Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China (corresponding author). Email: [email protected]
Chun-Xu Qu, M.ASCE [email protected]
Associate Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China. Email: [email protected]
Professor, China Railway Bridge and Tunnel Technologies Co., Ltd., Nanjing 210061, China. Email: [email protected]
Guan-Hua Zhang [email protected]
Professor, Liaoning Provincial Transportation Planning and Design Institute Co., Ltd., Shenyang 110166, China. Email: [email protected]
Ji-Gang Han [email protected]
Senior Engineer, Liaoning Provincial Transportation Planning and Design Institute Co., Ltd., Shenyang 110166, China. Email: [email protected]

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Cited by

  • Piecewise-Fitted Formula for Cable Force Identification Considering Bending Stiffness, Sag, and Inclination, Journal of Bridge Engineering, 10.1061/JBENF2.BEENG-6143, 28, 7, (2023).
  • Bridge Cable Anomaly Detection Based on Local Variability in Feature Vector of Monitoring Group Cable Forces, Journal of Bridge Engineering, 10.1061/JBENF2.BEENG-6084, 28, 6, (2023).
  • Early Warning for Abnormal Cable Forces of Cable-Stayed Bridges Considering Structural Temperature Changes, Journal of Bridge Engineering, 10.1061/JBENF2.BEENG-5797, 28, 2, (2023).

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