Cable tension monitoring through feature-based video image processing

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ORIGINAL PAPER

Cable tension monitoring through feature‑based video image processing Chaoyang Chu1 · Faouzi Ghrib1   · Shaohong Cheng1 Received: 7 May 2020 / Revised: 14 July 2020 / Accepted: 8 September 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020

Abstract As a key indicator of the structural performance of cable-stayed bridges, tensile forces in stay cables are required to be controlled for maintaining the structural integrity of bridges. In this paper, a non-contact vision-based system for cable tension monitoring is proposed. To measure the dynamic response of cables cost-effectively, a feature-based video image processing technique is developed. The Scale Invariant Feature Transform (SIFT) is adopted for the implementation of the featurebased methodology. Since the detected keypoints associated with the cable play a critical role in extracting the displacement time-history, a study on the feasibility of the feature-based detection algorithm is conducted under a variety of test scenarios within laboratory settings. The performance of the keypoint detector for tracking a vibrating cable is quantified based on a set of evaluation parameters. To extend the versatility of the keypoint detector within complex background scenarios, enhancement techniques are investigated as well. The analysis of the performance indicators demonstrates that the detector is capable of extracting sufficient dynamic information of a vibrating cable from a video image sequence. Subsequently, threshold-dependent image matching approaches are proposed, which optimize the functionality of the vision-based system under complex background conditions. The developed feature-based image processing technique is further integrated seamlessly with cable dynamic analysis for cable tension monitoring. Through experimental studies, the proposed non-contact vision-based system is validated for cable frequency identification as well as tensile force estimation. Keywords  Cable-stayed bridges · Stay cables · Tensile forces · Non-contact vision-based system · Digital image processing · Feature-based detection

1 Introduction As an essential load-carrying component, stay cables play a vital role in the structural performance of cable-stayed bridges. In a typical cable-supported bridge, the cables are designed to support the bridge deck and transmit loads to the pylons [19, 23]. Since the stay cables dominate the internal force distribution, monitoring of forces in the cables becomes one of the utmost concerns [7, 17, 29]. During the service life of a typical cable-stayed bridge, cable tension may vary due to excessive vibrations, corrosion in either the anchorages or the cable itself, as well as shrinkage and creep in the concrete structural components that are connected to the cable [1, 23, 29]. Deterioration of cables could adversely * Faouzi Ghrib [email protected] 1



Department of Civil and Environmental Engineering, University of Windsor, Windsor, ON, Canada

affect the performance of the entire bridge structure. Therefore, i