TY  - EJOU
AU  - Nie, Jian 
AU  - Ma, Wei 
AU  - Luo, Chao 
AU  - Wang, Meiwang 
AU  - Liang, Shengyang 
AU  - Deng, Xiaojun 

TI  - Cable-Force Feedback Adjustment Method for Long-Span CFST Arch Bridges Based on Global Alignment Sensing Using Three-Dimensional Laser Point Clouds
T2  - Structural Durability \& Health Monitoring

PY  - 
VL  - 
IS  - 
SN  - 1930-2991

AB  - This study proposes a cable-force feedback adjustment method for long-span concrete-filled steel tube arch bridges. The method is based on global alignment sensing using three-dimensional laser point clouds. It aims to solve two problems during construction. One is insufficient global alignment sensing. The other is the difficulty of promptly feeding measured deviations back into construction control. First, a relationship model between arch-rib alignment and cable force during construction is established. Cable-force optimization methods are then developed for the hinge locking and closure stages. Second, a point-cloud-based global alignment sensing method is proposed for arch ribs. This method includes dual-purpose target recognition, coordinate transformation, and main chord tube axis extraction. These procedures enable accurate acquisition of the spatial geometric state of arch ribs under complex construction conditions. Finally, cable-force feedback adjustment, shim compensation, and digital trial assembly assisted prediction methods are developed. These methods are based on the deviations between measured and theoretical alignments. The proposed method was validated using a long-span CFST arch bridge project. The results showed that the proposed three-dimensional laser point cloud based global alignment sensing method had high measurement accuracy. The control point coordinate difference after coordinate transformation using dual-purpose targets was only 3.9 mm at a distance of 300 m. The average deviation of the fitted radius of the main chord tube axis was 1.01 mm, and the maximum deviation was 3.4 mm. During key construction stages, including first-segment installation, hinge locking, and arch closure, the measured alignment agreed well with the theoretical control target. The measured deviations provided the basis for cable force adjustment, while digital trial assembly was used to assess the potential shim demand and predict the resulting segment posture. The engineering application validates the point cloud-based alignment sensing workflow for the monitored chord tubes and demonstrates its potential to support cable force adjustment decisions and digital trial assembly-assisted shim assessment. The present study establishes a feedback-oriented adjustment framework rather than a fully validated quantitative closed loop control system. The proposed framework provides a basis for refined construction control of long span CFST arch bridges.
KW  - Concrete-filled steel tube arch bridge; three-dimensional laser point cloud; global alignment sensing; cable-force feedback adjustment; digital trial assembly; construction control

DO  - 10.32604/sdhm.2026.087284