Field Monitoring and Numerical Analysis of the Effect of Air Temperature and Water Load on the Static Behavior of a Tied-Arch Aqueduct
Source abstract
Abstract
This study presents part of a pilot work for the structural health monitoring of a large tied-arch reinforced concrete aqueduct in eastern China. Based on field-monitored data for over a year, it mainly focuses on the effect of air temperature and water load variations on the static behavior of a typical span of the aqueduct through field monitoring and 3D FE model analysis. It is found that the longitudinal deformation of the composite tied-arch shows a good linear relationship with the air temperature during the non-operation period and also has a good bilinear correlation with the air temperature and water level during operation. However, isolation of the air temperature effect from the second bilinear correlation using the first linear relationship results in a poor correlation between the longitudinal deformation and water level due to the dominance of the temperature effect. Therefore, it is recommended to use the bilinear regression to predict the longitudinal deformation of the tied-arch during operation. The vertical deformation of the tied-arch is insignificantly affected by air temperature, whereas it shows a fair bilinear correlation with the air temperature and water level during operation, which can be used to provide a reasonable estimation of the vertical deformation of the tied-arch. The strain measurements of the tied-arch using vibrating-string gauges are more complicated due to the notable influence of the ambient temperature and solar radiation, but the relatively consistent bilinear regression of the strains versus the air temperature and water level can still give fair predictions for the strains of the bottom tension rods during operation. The 3D FE model can provide a fair estimation for the vertical deformation of the tied-arch under water load, but its predictions for longitudinal deformation and strains are less satisfactory when compared to monitored data excluding temperature effects.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Hydraulic flow and structures · Water Systems and Optimization · Dam Engineering and Safety
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, China
Division of Materials, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Key Laboratory of Water Engineering Materials of Ministry of Water Resources, Beijing 100038, China
Operation and Maintenance Center of Shandong Water Diversion Project, Jinan 250100, China
Funding
IWHR Basic Research Fund
References (19)
Show source-provided references
1. Thermal behaviors of bridges—A literature review10.1177/13694332231153976 ↗
2. Luo, J., Huang, M., and Lei, Y. (2022). Temperature Effect on Vibration Properties and Vibration-Based Damage Identification of Bridge Structures: A Literature Review. Buildings, 12.10.3390/buildings12081209 ↗
3. Mechanism of the effect of temperature on frequency based on long-term monitoring of an arch bridge10.1177/1475921720931370 ↗
4. Bayesian network-based modal frequency–multiple environmental factors pattern recognition for the Xinguang Bridge using long-term monitoring data10.1177/1461348418786520 ↗
5. An experimental analysis of the evolution of dynamic parameters of a long-span metal arch bridge10.2749/101686614X13830788505568 ↗
6. Long-term deformation monitoring of a steel-truss arch bridge using PSI technique refined by temperature field analysis10.1016/j.engstruct.2024.118164 ↗
7. Long-term monitoring of a masonry arch bridge to evaluate scour effects10.1016/j.conbuildmat.2023.134580 ↗
8. Investigation on the mapping for temperature-induced responses of a long-span steel truss arch bridge10.1080/15732479.2022.2082494 ↗
9. Ietka, I., Moutinho, C., Pereira, S., and Cunha, Á. (2023). Structural Monitoring of a Large-Span Arch Bridge Using Customized Sensors. Sensors, 23.10.3390/s23135971 ↗
10. Temperature behaviors of an arch bridge through integration of field monitoring and unified numerical simulation10.1177/13694332221130797 ↗
11. Fu, M., Liang, Y., Wu, B., Zhang, L., and Tang, G. (2022). Research on Deformation Analysis and Rehabilitation for a Beam–Arch Combination Bridge Suffering an Extreme Temperature Field. Appl. Sci., 12.10.3390/app12146909 ↗
12. Analysis of thermal deformations for a long-span arch bridge using long-term monitoring data10.1504/IJLCPE.2020.115388 ↗
13. Innovative design of a health monitoring system and its implementation in a complicated long-span arch bridge10.1061/(ASCE)AS.1943-5525.0000603 ↗
14. Behavior analysis and early warning of girder deflections of a steel-truss arch railway bridge under the effects of temperature and trains: Case study10.1061/(ASCE)BE.1943-5592.0001327 ↗
15. Analysis of thermal behavior on concrete box-girder arch bridges under convection and solar radiation10.1177/1369433216630829 ↗
16. Temperature-based structural health monitoring baseline for long-span bridges10.1016/j.engstruct.2014.12.042 ↗
17. Assessing static performance of the Dashengguan Yangtze Bridge by monitoring the correlation between temperature field and its static strains
18. Structural deformation prediction model based on extreme learning machine algorithm and particle swarm optimization10.1177/14759217211072237 ↗
19. Lu, X., Li, X., Xiao, J., and Li, M. (2023). Approximating Dynamic Elastic Modulus of Concrete for an Old Aqueduct Using Dynamic Tests and BP Neural Network. Appl. Sci., 13.10.3390/app13148367 ↗