Effect of Temperature Changes on the Cable Tension of a Railway Steel Composite Bridge

Temperature-induced expansion and contraction of the upper highway steel girder can modify the force distribution in the vertical hanger cables and thereby influence the response of the lower railway deck in highway–railway steel composite bridges. This study analyzes three years (2019–2021) of field monitoring data to quantify the relationships among member temperature, highway expansion-joint displacement, and inner/outer cable tensions. Linear temperature-based prediction equations were developed using daily-averaged records and validated against independently estimated cable tensions from vibration-based identification (n = 24 tests; 8 cables × 3 campaigns). The prediction showed mean deviations below 5% and a maximum absolute deviation of 8.4%. A supporting ANSYS model reproduced the first-mode frequencies within 4%. The proposed framework provides practical equations for operational monitoring and maintenance planning within the monitored temperature range.

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Publication Details

Journal
Applied Sciences
Published
2026-03-11
DOI
https://doi.org/10.3390/app16062663
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Effect of Temperature Changes on the Cable Tension of a Railway Steel Composite Bridge

Jung-Youl Choi, Dae-Hui Ahn, Soo-Jae Lee
Applied Sciences
Structural Health Monitoring Techniques
article

Effect of Temperature Changes on the Cable Tension of a Railway Steel Composite Bridge

Jung-Youl Choi, Dae-Hui Ahn, Soo-Jae Lee
article en

Abstract

Temperature-induced expansion and contraction of the upper highway steel girder can modify the force distribution in the vertical hanger cables and thereby influence the response of the lower railway deck in highway–railway steel composite bridges. This study analyzes three years (2019–2021) of field monitoring data to quantify the relationships among member temperature, highway expansion-joint displacement, and inner/outer cable tensions. Linear temperature-based prediction equations were developed using daily-averaged records and validated against independently estimated cable tensions from vibration-based identification (n = 24 tests; 8 cables × 3 campaigns). The prediction showed mean deviations below 5% and a maximum absolute deviation of 8.4%. A supporting ANSYS model reproduced the first-mode frequencies within 4%. The proposed framework provides practical equations for operational monitoring and maintenance planning within the monitored temperature range.

Applied SciencesVol. 16(6)
Dongyang University (KR)
Ministry of Education, India
Sustainable cities and communities
Openalex Percentile: Top 28%
Structural Health Monitoring Techniques
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