Construction monitoring analysis of the combination system bridge of cable-stayed bridge and shaped arch bridge
DOI:
https://doi.org/10.14311/Keywords:
Combination system bridges of cable-stayed bridge and shaped arch bridge, Construction monitoring, Stress, ElevationAbstract
The combination system bridges of cable-stayed and shaped arch bridges feature innovative structures and complex force distributions, necessitating intricate construction processes. Monitoring these processes ensures that the bridge's stress state aligns with designed internal forces. Measured stress values on the main girder's edges align with theoretical trends but are slightly lower. Throughout construction, the middle span experiences compression, with maximum stresses of -5.1 MPa on both edges. Full support during construction minimizes the impact of stay cable and derrick tension on main girder stress. After support removal, compressive stress increases on the upper edge and decreases on the lower. The tower’s elevation is slightly above design, aiding in reducing prestress loss and deflection in later stages. At 16.5 m above the bridge girder, the tower’s left side experiences tension and the right compression, with a tensile stress of only 1.0 MPa, indicating sound design and effective construction control.
Received: 30.1.2025
Received in revised version: 14.7.2025
Accepted: 30.8.2025
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References
Puri N, Turkan Y. Bridge construction progress monitoring using lidar and 4D design models[J]. Automation in Construction, 2020, 109: 102961.
He Z, Li W, Salehi H, et al. Integrated structural health monitoring in bridge engineering[J]. Automation in construction, 2022, 136: 104168.
Jiang Z, Shen X, Ibrahimkhil M H, et al. Scan-vs-BIM for real-time progress monitoring of bridge construction project[J]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022, 10: 97-104.
Tian J, Luo S, Wang X, et al. Crane lifting optimization and construction monitoring in steel bridge construction project based on BIM and UAV[J]. Advances in Civil Engineering, 2021, 2021(1): 5512229.
Lin Y B, Pan C L, Kuo Y H, et al. Online monitoring of highway bridge construction using fiber Bragg grating sensors[J]. Smart Materials and Structures, 2005, 14(5): 1075.
Bai Y, Huan J, Kim S. Measuring bridge construction efficiency using the wireless real-time video monitoring system[J]. Journal of Management in Engineering, 2012, 28(2): 120-126.
Fujino Y, Siringoringo D M. Bridge monitoring in Japan: the needs and strategies[J]. Structure and Infrastructure Engineering, 2011, 7(7-8): 597-611.
Zhou G D, Yi T H, Li W J, et al. Standardization construction and development trend of bridge health monitoring systems in China[J]. Advances in Bridge Engineering, 2020, 1: 1-18.
Butler L J, Lin W, Xu J, et al. Monitoring, modeling, and assessment of a self-sensing railway bridge during construction[J]. Journal of Bridge Engineering, 2018, 23(10): 04018076.
Fu M, Liang Y, Feng Q, et al. Research on the application of multi-source data analysis for bridge safety monitoring in the reconstruction and demolition process[J]. Buildings, 2022, 12(8): 1195.
Kim H, Moon B, Hu X, et al. Construction and performance monitoring of innovative ultra-high-performance concrete bridge[J]. Infrastructures, 2021, 6(9): 121.
Xin J, Wang C, Tang Q, et al. An evaluation framework for construction quality of bridge monitoring system using the DHGF method[J]. Sensors, 2023, 23(16): 7139.
Wan B. Using fiber-reinforced polymer (FRP) composites in bridge construction and monitoring their performance: an overview[J]. Advanced composites in bridge construction and repair, 2014: 3-29.
Gou H, Liu C, Bao Y, et al. Construction monitoring of self-anchored suspension bridge with inclined tower[J]. Journal of Bridge Engineering, 2021, 26(10): 05021011.
Fang Y M, Chou T Y, Hoang T V, et al. Automatic management and monitoring of bridge lifting: a method of changing engineering in real-time[J]. Sensors, 2019, 19(23): 5293.
Yang H, Xia M. Advancing bridge construction monitoring: AI-based building information modeling for intelligent structural damage recognition[J]. Applied Artificial Intelligence, 2023, 37(1): 2224995.
Xin J, Jiang Y, Wu B, et al. Intelligent Bridge Health Monitoring and Assessment[J]. Buildings, 2023, 13(7): 1834.
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