Abstract
The construction process of cable-stayed bridges is complex and has many influencing parameters. Construction monitoring plays an important role in the construction process to ensure the structural safety and meet the design requirements. Gray system theory is applied to analyze and predict structural deformation and cable tension for construction monitoring, which regards the cable-stayed bridge under construction as an interferential gray system with a physical prototype and analyzes the random process as a gray process. The gray prediction model has been established by using and evaluating girder and cable tension as two control inputs of the system in the construction process of cablestayed bridges. The girder and cable tension of subsequent construction stages were predicted, adjusted, and evaluated by using feedback information obtained from measuring and rectifying the gray prediction model to effectively control and adjust the bridge configuration and cable tension. Results show that gray prediction model has good prediction precision, which can control the structural configuration in the ideal state and meet the design requirements.
Highlights
A cable-stayed bridge is composed of inclined cables, tower, and girder and has the characteristics of large crossover ability, lightweight structure, large clearance height, and good earthquake resistance
The gray prediction model considers the characteristics of construction that can control the bridge configuration and cable tension of cable-stayed bridges [1, 4, 5]
For cable-stayed bridges, when various factors are effectively controlled during the construction process, the alignment and internal force of the girder can be adjusted only by initializing the heights of girders and the tension forces of cables
Summary
A cable-stayed bridge is composed of inclined cables, tower, and girder and has the characteristics of large crossover ability, lightweight structure, large clearance height, and good earthquake resistance. The gray prediction model considers the characteristics of construction that can control the bridge configuration and cable tension of cable-stayed bridges [1, 4, 5]. The gray prediction model is applied to analyze the parameter errors and predict deck elevation and initial cable tension in the cable-stayed bridge construction process.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.