| Title |
Analysis of Temperature-Displacement Correlation of Cheongpung Cable-Stayed Bridge Using Long-Term Measurement Data |
| Authors |
이기상(Lee, Ki-sang);곽대열(Kwak, Dae-yeol);정재훈(Jeong, Jae-hun);박기정(Park, Ki-jung);손창호(Sohn, Chang-ho) |
| DOI |
https://doi.org/10.12652/Ksce.2025.45.3.0287 |
| Keywords |
사장교, 유지관리, 모니터링, 상관분석, 회귀분석 Cable-stayed bridge, Maintenance, Monitoring, Correlation analysis, Regression |
| Abstract |
This study aims to analyze the relationship between temperature and structural displacement using long-term monitoring data from the
Cheongpung Bridge, a hybrid cable-stayed bridge located in Jecheon, South Korea. Displacement data were collected from GNSS,
laser displacement sensors, and expansion joint sensors, while temperature data were obtained from thermometers installed at both the
tower and girder sections. Correlation analysis revealed that the coefficients were consistent across different thermometer types,
indicating minimal influence from installation conditions. Notably, both the transverse displacements of the bridge and the vertical
displacements of the girder exhibited strong correlations with temperature. To validate these findings, a finite element analysis model
was constructed using Midas software, confirming that the bridge components responded differently to thermal variations: the main
towers and expansion joints moved in opposite transverse directions, and the center span showed downward deflection. Linear
regression models were subsequently developed for each structural component based on girder temperature, which showed the highest
correlation. The training period was varied in one-year increments, and despite differences in data completeness, most models achieved
determination coefficients (R²) above 0.6. These results demonstrate the feasibility of temperature-based prediction of long-term
displacement behavior in cable-stayed bridges. |