Bridge Cable Performance Warning Method Based on Temperature and Displacement Monitoring Data
Cable-stayed bridge cables experience significant tension over time, making the bridge cables prone to corrosion and fatigue. The direct measurement of cable length is not a standard capability in most current structural health monitoring systems, nor is long-term monitoring of cable changes. Bridge...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/13/2342 |
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| author | Yan Shi Yan Wang Lu-Nan Wang Wei-Nan Wang Tao-Yuan Yang |
| author_facet | Yan Shi Yan Wang Lu-Nan Wang Wei-Nan Wang Tao-Yuan Yang |
| author_sort | Yan Shi |
| collection | DOAJ |
| description | Cable-stayed bridge cables experience significant tension over time, making the bridge cables prone to corrosion and fatigue. The direct measurement of cable length is not a standard capability in most current structural health monitoring systems, nor is long-term monitoring of cable changes. Bridge displacements are caused by both dynamic loads (wind and traffic) and quasi-static factors, primarily temperature. This study filtered out dynamic responses by the three-sigma rule, multiple linear regression, interpolation method, and not-a-number calibration. Monitoring data were used to analyze the bridge’s thermal field distribution and the time-dependent variation of tower displacements. Correlation analysis revealed a strong linear correlation between air temperature and quasi-static tower-girder displacements. This research proposes to use the tower-girder distance (effective cable length) to represent the length of the cable, take the thermal expansion coefficient of the effective length of the cable as the quantitative index for long-term monitoring, and take its error as the performance early warning indicator. This method effectively monitors cable health and provides damage warnings. |
| format | Article |
| id | doaj-art-507fa25f7b0943d4800cafbd0556dd8e |
| institution | Kabale University |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-507fa25f7b0943d4800cafbd0556dd8e2025-08-20T03:28:29ZengMDPI AGBuildings2075-53092025-07-011513234210.3390/buildings15132342Bridge Cable Performance Warning Method Based on Temperature and Displacement Monitoring DataYan Shi0Yan Wang1Lu-Nan Wang2Wei-Nan Wang3Tao-Yuan Yang4School of Civil Engineering, LiaoNing Petrochemical University, Fushun 113001, ChinaSchool of Civil Engineering, LiaoNing Petrochemical University, Fushun 113001, ChinaSchool of Civil Engineering, LiaoNing Petrochemical University, Fushun 113001, ChinaSchool of Civil Engineering, LiaoNing Petrochemical University, Fushun 113001, ChinaSchool of Civil Engineering, LiaoNing Petrochemical University, Fushun 113001, ChinaCable-stayed bridge cables experience significant tension over time, making the bridge cables prone to corrosion and fatigue. The direct measurement of cable length is not a standard capability in most current structural health monitoring systems, nor is long-term monitoring of cable changes. Bridge displacements are caused by both dynamic loads (wind and traffic) and quasi-static factors, primarily temperature. This study filtered out dynamic responses by the three-sigma rule, multiple linear regression, interpolation method, and not-a-number calibration. Monitoring data were used to analyze the bridge’s thermal field distribution and the time-dependent variation of tower displacements. Correlation analysis revealed a strong linear correlation between air temperature and quasi-static tower-girder displacements. This research proposes to use the tower-girder distance (effective cable length) to represent the length of the cable, take the thermal expansion coefficient of the effective length of the cable as the quantitative index for long-term monitoring, and take its error as the performance early warning indicator. This method effectively monitors cable health and provides damage warnings.https://www.mdpi.com/2075-5309/15/13/2342structural health monitoringbridge cabledata preprocessingthermal actiondamage warning |
| spellingShingle | Yan Shi Yan Wang Lu-Nan Wang Wei-Nan Wang Tao-Yuan Yang Bridge Cable Performance Warning Method Based on Temperature and Displacement Monitoring Data Buildings structural health monitoring bridge cable data preprocessing thermal action damage warning |
| title | Bridge Cable Performance Warning Method Based on Temperature and Displacement Monitoring Data |
| title_full | Bridge Cable Performance Warning Method Based on Temperature and Displacement Monitoring Data |
| title_fullStr | Bridge Cable Performance Warning Method Based on Temperature and Displacement Monitoring Data |
| title_full_unstemmed | Bridge Cable Performance Warning Method Based on Temperature and Displacement Monitoring Data |
| title_short | Bridge Cable Performance Warning Method Based on Temperature and Displacement Monitoring Data |
| title_sort | bridge cable performance warning method based on temperature and displacement monitoring data |
| topic | structural health monitoring bridge cable data preprocessing thermal action damage warning |
| url | https://www.mdpi.com/2075-5309/15/13/2342 |
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