Experimental study of fatigue and sensing performance of corroded smart steel wire

To address the limitations in accuracy, reliability, and efficiency of traditional cable tension measurement methods, this paper proposes a cable tension assessment method based on 3D laser scanning technology that considers point cloud density. This study first employed a point cloud plane projection algorithm to reduce a 3D point cloud model to a 2D plane, fitting the actual cable shape by considering point cloud density. Subsequently, the parabolic and catenary cable mechanics models were derived to characterize the relationship between cable tension and shape based on force analysis of cable segments and differential segments. The Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm was applied to calculate cable tensions using the measured cable shape and the mechanic’s models, and the proposed cable tension assessment method was validated using practical cable point cloud models. Finally, the cable tension assessment method was applied to a specific sea‐crossing bridge and compared with the traditional frequency method. The results indicated that the 3D laser scanning cable tension assessment method, considering point cloud density, could quickly and accurately identify cable tensions, offering greater accuracy, reliability, and efficiency compared to the traditional frequency method.

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Experimental study of fatigue and sensing performance of corroded smart steel wire

Cited by 3 publications

References 32 publications

Circumferential multi-point corrosion status assessment of steel cables considering self-magnetic flux leakage superposition effect

Circumferential multi-point corrosion status assessment of steel cables considering self-magnetic flux leakage superposition effect

Fatigue life prediction of stay cables under vehicle load considering corrosion variability

3D Laser Scanning‐Based Tension Assessment for Bridge Cables Considering Point Cloud Density

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