+Advanced Search 中文版
Structural State Identification during Vertical Rotation Construction of a Bridge Based on Lightweight Monitoring
DOI: 10.59238/j.pt.20260525001
(1.The Fifth Engineering Co., Ltd. of China Railway Shanghai Engineering Bureau Group, Nanning 530100, Guangxi Province, China
2.China MCC22 Group Co., Ltd., Xi'an 710043, Shaanxi Province, China
3.China Railway Shanghai Engineering Bureau Group Co., Ltd., Shanghai 200436, China
4.Shandong Hi-speed Co., Ltd., Ji'nan 25014, Shandong Province, China
5.Dept. of Bridge Engineering, Tongji University, Shanghai 200092, China.)
基金项目: Qinghai Provincial Department of Science and Technology Project (Grant No. 2024-QY-202) ; A research project of the Guizhou Provincial Highway Bureau
Structural State Identification during Vertical Rotation Construction of a Bridge Based on Lightweight Monitoring
(1.The Fifth Engineering Co., Ltd. of China Railway Shanghai Engineering Bureau Group, Nanning 530100, Guangxi Province, China
2.China MCC22 Group Co., Ltd., Xi'an 710043, Shaanxi Province, China
3.China Railway Shanghai Engineering Bureau Group Co., Ltd., Shanghai 200436, China
4.Shandong Hi-speed Co., Ltd., Ji'nan 25014, Shandong Province, China
5.Dept. of Bridge Engineering, Tongji University, Shanghai 200092, China.)
摘要
To address the uncertainty of structural states during construction and the scarcity of field monitoring data, which make it difficult to fully characterize structural pose and force conditions, we developed a state identification method based on limited monitoring information. For the reference state, the key control parameters governing the equilibrium of the initial configuration were identified. For the construction process states, pose-correction parameters and key state parameters were jointly identified from a small number of observations. State identification was implemented by integrating finite element analysis with a global–local optimization strategy. The vertical rotation construction of the main arch of an overpass bridge was investigated as an engineering case. The results show that the method can accurately recover the prescribed cable force configuration in the pre-construction reference state and stably identify spatial pose changes and cable force redistribution at several discrete construction states. The error indices remained generally small, and the results at the constraint points agreed well with those at the validation points. The proposed method provides an effective technical approach for state assessment, geometric control, and parameter updating during the construction of complex bridges.
Abstract
To address the uncertainty of structural states during construction and the scarcity of field monitoring data, which make it difficult to fully characterize structural pose and force conditions, we developed a state identification method based on limited monitoring information. For the reference state, the key control parameters governing the equilibrium of the initial configuration were identified. For the construction process states, pose-correction parameters and key state parameters were jointly identified from a small number of observations. State identification was implemented by integrating finite element analysis with a global–local optimization strategy. The vertical rotation construction of the main arch of an overpass bridge was investigated as an engineering case. The results show that the method can accurately recover the prescribed cable force configuration in the pre-construction reference state and stably identify spatial pose changes and cable force redistribution at several discrete construction states. The error indices remained generally small, and the results at the constraint points agreed well with those at the validation points. The proposed method provides an effective technical approach for state assessment, geometric control, and parameter updating during the construction of complex bridges.
' data-baidu-text='百度学术' data-index='1'>

Wang, C. Research on Key Technologies for Construction Monitoring of Long Multi-Span Continuous Girder Bridges with Corrugated Steel Webs. Master's Thesis, Shijiazhuang Tiedao University, Shijiazhuang, China, 2023, doi: 10.27334/d.cnki.gstdy.2023.000734. (in Chinese)

Xu, Y.; Li, Y.; Zhang, N.; et al. Shanghai Maogang Bridge. Bridge Constr. 1982, 4, 1–10. (in Chinese)

Meng, Q. Research on Key Issues in Construction-Control Systems for Kilometer-Scale Cable-Stayed Bridges. Doctoral Thesis, Southwest Jiaotong University, Chengdu, China, 2014. (in Chinese)

Li, Q.; Bu, Y.; Zhang, Q. Introduction and Application of Full-Process Geometric Control for Long-Span Cable-Stayed Bridge Construction; Southwest Jiaotong University Press: Chengdu, China, 2009. (in Chinese)

Cao, L.; Ren, W. Determination of Rational Construction Cable Forces for Cable-Stayed Bridges Using Forward Iteration. In Proceedings of the 17th National Symposium on Modern Structural Engineering, Tianjin, China, 21–23 July 2017, 1724–1728. (in Chinese)

Yi, Y.; Yue, Q.; Yan, H. Comparison of Main-Girder Construction Sequences for Composite-Girder Cable-Stayed Bridges. Highway 2012, 12, 36–38. (in Chinese)

' data-baidu-text='百度学术' data-index='7'>

Jin, S. Computational Analysis of Construction Control for a Long-Span Single-Pylon Hybrid-Girder Cable-Stayed Bridge. Master's Thesis, Southwest Jiaotong University, Chengdu, China, 2018. (in Chinese)

' data-baidu-text='百度学术' data-index='8'>

Li, S. Design and Implementation of a Worker Construction-State Identification System Based on Pose Estimation. Master's Thesis, Chongqing University, Chongqing, China, 2020, doi: 10.27670/d.cnki.gcqdu.2020.001279. (in Chinese)

Han, S.; Lee, S. A vision-based motion capture and recognition framework for behavior-based safety management. Autom. Constr. 2013, 35, 131–141. doi: 10.1016/j.autcon.2013.05.001

Yang, J. Rational Completed State and Construction Control of Long-Span Bridges Based on the Influence Matrix. Doctoral Thesis, Wuhan University of Technology, Wuhan, China, 2008. (in Chinese)

' data-baidu-text='百度学术' data-index='11'>

Chen, X. Structural-Parameter Sensitivity Analysis of Extradosed Cable-Stayed Bridges and Hydration-Heat Analysis of Mass Concrete. Master's Thesis, Southwest Jiaotong University, Chengdu, China, 2018. (in Chinese)

Storn, R.; Price, K. Differential evolution—A simple and efficient heuristic for global optimization over continuous spaces. J. Glob. Optim. 1997, 11, 341–359, doi: 10.1023/A:1008202821328.

Storn, R. System design by constraint adaptation and differential evolution. IEEE Trans. Evol. Comput. 1999, 3, 22–34, doi: 10.1109/4235.752918.

Hock, W.; Schittkowski, K. Test examples for nonlinear programming codes. J. Optim. Theory Appl. 1980, 30, 127–129, doi: 10.1007/BF00934594.

Schittkowski, K. The nonlinear programming method of Wilson, Han, and Powell with an augmented Lagrangian type line search function: Part 2: An efficient implementation with linear least squares subproblems. Numer. Math. 1982, 38, 115–127, doi: 10.1007/BF01395811.

sss
ddd
图1主要系统原理图1
Fig.1Main system schematic diagram

Address：Room B611, Civil Engineering Building, Tongji University, No. 1239 Siping Road, Yangpu District, Shanghai, China Postcode：200092 ServiceTel：021-65983096

Publish: High Education Press Fax:021-65983096 E-mail：pt@tongji.edu.cn

All content on this site: Copyright © 2024 Prestress Technology Office, its licensors, and contributors. Support:Beijing E-Tiller Technology Development Co., Ltd. ICP: