Investigation of Wind Field Characteristics in Mountain Valley Terrain Under the Disturbance of Bridge Structures

This study investigates the wind field characteristics of long-span suspension bridges in mountain valleys terrain, with a particular focus on the disturbance effects caused by bridge structure on wind measurements. Field data are collected using the Wind3D 6000 LiDAR installed near the bridge. By comparing wind field characteristics before and after bridge completion, this study evaluates the influence of the bridge structure on both mean and turbulent wind characteristics. The findings show that the presence of the bridge tower and deck reduces the measured mean wind speed and modifies its probability distribution. The bridge tower increases the effective ground roughness coefficient, thereby attenuating the vertical wind speed gradient. In addition, the bridge tower raises the measured turbulence intensity, alters its probability distribution, and decreases the agreement between the turbulent wind power spectrum and the von Kármán spectrum. It is necessary to correct the data affected by these disturbances to improve the accuracy of wind load assessments for long-span bridges, thus enhancing the reliability of bridge structural operation.

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Publication Details

Journal
Sensors
Published
2026-03-27
DOI
https://doi.org/10.3390/s26072098
Primary Topic
Wind and Air Flow Studies
Type
article
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article

Investigation of Wind Field Characteristics in Mountain Valley Terrain Under the Disturbance of Bridge Structures

Junrui Zhang, Hu Yang, Chaoming Wu, Rujin Ma et al.
Sensors
Wind and Air Flow Studies
article

Investigation of Wind Field Characteristics in Mountain Valley Terrain Under the Disturbance of Bridge Structures

Junrui Zhang, Hu Yang, Chaoming Wu, Rujin Ma, Hao Liu
article en

Abstract

This study investigates the wind field characteristics of long-span suspension bridges in mountain valleys terrain, with a particular focus on the disturbance effects caused by bridge structure on wind measurements. Field data are collected using the Wind3D 6000 LiDAR installed near the bridge. By comparing wind field characteristics before and after bridge completion, this study evaluates the influence of the bridge structure on both mean and turbulent wind characteristics. The findings show that the presence of the bridge tower and deck reduces the measured mean wind speed and modifies its probability distribution. The bridge tower increases the effective ground roughness coefficient, thereby attenuating the vertical wind speed gradient. In addition, the bridge tower raises the measured turbulence intensity, alters its probability distribution, and decreases the agreement between the turbulent wind power spectrum and the von Kármán spectrum. It is necessary to correct the data affected by these disturbances to improve the accuracy of wind load assessments for long-span bridges, thus enhancing the reliability of bridge structural operation.

SensorsVol. 26(7)
Tongji University (CN), Guzhou Transportation Planning Survey & Design Academe (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 6%
Wind and Air Flow Studies
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