journal article·2024-11-17Open access

Experimental Study of Wind Characteristics at a Bridge Site in Mountain Valley Considering the Effect of Oncoming Wind Speed

Weikang Li, Shengnan Cui, Jian Zhao, Luming An, Chao Yu, Yan Ding, Hongmiao Jing, Qingkuan Liu

Applied Sciences· Volume 14· Issue 22

Abstract

The topography of mountainous areas is characterized by large undulations, which lead to a very complex wind field at bridge sites in mountain valleys. The influence of oncoming wind speed on long-span bridges built in mountain valleys is quite pronounced. To investigate the wind characteristics at a bridge site in a mountain valley under different oncoming wind speeds, a wind tunnel test of a terrain model with a scaling ratio of 1:1000, where a long-span bridge would be built in the V-shaped canyon, was conducted. Uniform and atmospheric boundary layer (ABL) inflows were both applied, and the effect of different oncoming wind speeds (basic wind speeds of 6 m/s, 8 m/s, 10 m/s, 12 m/s, and 14 m/s) under three wind directions (0°, 30°, and 180°) on the wind characteristics at the main beam and two bridge towers were studied. The results indicate that increasing oncoming wind speed leads to decreased wind profiles and wind speed amplification factors and increased wind attack angles, while wind yaw angles remain largely unchanged. In addition, compared to ABL inflow, the variation of fluctuating wind characteristics is more pronounced with the oncoming wind speed under uniform inflow. Under uniform inflow conditions, increasing the oncoming wind speed causes decreased turbulence intensity, reduces the peak frequency of the power spectrum, and slows down the high-frequency decay rate. Under ABL inflow conditions, turbulence intensity and the power spectrum remain unchanged with different oncoming wind speeds. Additionally, the turbulent integral scale derived from fitting with the von Kármán wind spectrum is sufficiently accurate, and the variation in the turbulent integral scale is greatly influenced by the terrain. Furthermore, higher wind speeds result in stronger coherence between two points. When two points are at different locations but with the same spacing, the coherence function remains roughly the same. Locations with higher kurtosis and skewness values exhibit steeper probability density functions, with larger kurtosis and skewness coefficients typically found on the leeward side. High wind speeds are more detrimental to bridge safety, and appropriate preventive measures should be implemented in advance to address extreme conditions that may arise at high wind speeds.
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Research context

OpenAlex topics: Wind and Air Flow Studies · Aerodynamics and Fluid Dynamics Research · Aeolian processes and effects

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, China

China Railway Construction Bridge Engineering Bureau Group Co., Ltd., Tianjin 300300, China

State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang 050043, China

Innovation Center for Wind Engineering and Wind Energy Technology of Hebei Province, Shijiazhuang 050043, China

Funding

National Natural Science Foundation of China · Natural Science Foundation for Youth of Hebei Province, China

References (37)

Show source-provided references
1. Zhou, Z., Xin, X., Yu, J., and Liu, M. (2023). Analysis of wind field characteristics of ideal V-shaped and U-shaped canyons. Sustainability, 15.10.3390/su151310011 ↗
2. Numerical study of wind characteristics at a long-span bridge site in mountain valley10.1063/5.0196221 ↗
3. Aerodynamic characteristics of a long-span cable-stayed bridge under construction10.1016/j.engstruct.2018.12.097 ↗
4. (2018). Wind-Resistant Design Specification for Highway Bridges (Standard No. JTG/T 3360–01).
5. Large-eddy simulation of separated turbulent flows over a three-dimensional hill using WRF and OpenFOAM10.1016/j.jweia.2023.105357 ↗
6. Effects of roughness blocks on atmospheric boundary layer flow over a two-dimensional low hill with/without sudden roughness change10.1016/j.jweia.2007.01.002 ↗
7. Numerical and experimental study of the aerodynamic characteristics around two-dimensional terrain with different slope angles10.1007/s11707-019-0790-8 ↗
8. A wind tunnel study of turbulent flow over a three-dimensional steep hill10.1016/S0167-6105(99)00064-1 ↗
9. LES study of topographical effects of simplified 3D hills with different slopes on ABL flows considering terrain exposure conditions10.1016/j.jweia.2020.104513 ↗
10. LES study of turbulent flow fields over hilly terrains—Comparisons of inflow turbulence generation methods and SGS models10.1016/j.jweia.2020.104230 ↗
11. Large eddy simulations of slope effects on flow fields over isolated hills and ridges10.1016/j.jweia.2020.104178 ↗
12. Study of wind-direction effects on flow fields over two-dimensional hills using large eddy simulations10.1016/j.jweia.2020.104285 ↗
13. Wind flow simulations on idealized and real complex terrain using various turbulence models10.1016/j.advengsoft.2014.05.002 ↗
14. Field measurement study of wind characteristics at different measuring positions along a bridge in a mountain valley10.1016/j.jweia.2021.104705 ↗
15. Field measurement study of wind characteristics in mountain terrain: Focusing on sudden intense winds10.1016/j.jweia.2021.104781 ↗
16. Study on the wind-field characteristics over a bridge site due to the shielding effects of mountains in a deep gorge via numerical simulation10.1177/1369433219857859 ↗
17. Field measurement study on turbulence field by wind tower and Windcube Lidar in mountain valley10.1016/j.jweia.2019.104090 ↗
18. Analysis of airflow around Sapran Nak Airfield using meteorological balloon system and computational fluid dynamics program10.1016/j.jweia.2019.03.007 ↗
19. Numerical simulation and prediction of spatial wind field under complex terrain10.1016/j.jweia.2018.07.012 ↗
20. Field measurements and wind tunnel investigation of wind characteristics at a bridge site in a Y-shaped valley10.1016/j.jweia.2020.104199 ↗
21. Wind characteristics at bridge site in a deep-cutting gorge by wind tunnel test10.1016/j.jweia.2016.11.002 ↗
22. Experimental study of the wind flow in a coastal region of Japan10.1016/S0167-6105(02)00349-5 ↗
23. Parallel ribbon vortex: A phenomenological flow feature in an atmospheric boundary layer near sloped terrain10.1063/5.0177855 ↗
24. Aerodynamic shape of transition curve for truncated mountainous terrain model in wind field simulation10.1016/j.jweia.2018.05.008 ↗
25. Non-uniform wind characteristics in mountainous areas and effects on flutter performance of a long-span suspension bridge10.1016/j.jweia.2020.104177 ↗
26. Full scale measurements of gust factors and turbulence intensity, and their relations in hilly terrain10.1016/0167-6105(96)00047-5 ↗
27. Field measurement study of wind characteristics at different measuring positions in a mountainous valley10.1016/j.expthermflusci.2019.109991 ↗
28. Strong wind characteristics and dynamic response of a long-span suspension bridge during a storm10.1016/j.jweia.2017.10.030 ↗
29. Numerical study on the aerodynamic characteristics and flow field of two tandem tapered square cylinders with different spacing ratios10.1016/j.oceaneng.2024.116875 ↗
30. Effects of taper ratio on the aerodynamic forces and flow field of two tandem square cylinders10.1063/5.0169908 ↗
31. The spectrum of vertical velocity near the surface10.1002/qj.49708637006 ↗
32. Wind characteristics along a bridge catwalk in a deep-cutting gorge from field measurements10.1016/j.jweia.2018.12.022 ↗
33. Wind turbulence characteristics study at the Stonecutters Bridge site: Part II: Wind power spectra, integral length scales and coherences10.1016/j.jweia.2008.11.003 ↗
34. Effects of oncoming wind speed and turbulence intensity on wind characteristics of a simplified hill and ridge10.1063/5.0239043 ↗
35. Evaluation of mast measurements and wind tunnel terrain models to describe spatially variable wind field characteristics for long-span bridge design10.1016/j.jweia.2018.06.021 ↗
36. Long-term monitoring of wind field characteristics and dynamic response of a long-span suspension bridge in complex terrain10.1016/j.engstruct.2017.05.070 ↗
37. Zhou, X., Zhang, Z., Yang, W., and Liu, Q. (2024). Study on the Susceptibility of Drifting Snow in Ya’an–Qamdo Section of the Railway in Southwest China. Appl. Sci., 14.10.3390/app14020475 ↗