Abstract

Currently, research on wind fields of U-shaped valleys is rarely reported, and anemometers or wind observation towers are usually used for field measurement, but the measured position is limited and the cost is high. In order to study the wind characteristics in a mountainous U-shaped valley, a long-range, all-weather, high-precision Wind3D 6000 lidar was placed at a bridge site located in a U-shaped valley. Then, according to the data effective ratio and wind speed, nearly 6 months of original data ranging from 0 m to 810 m were analyzed statistically. It was found that the spatio-temporal distribution of wind speed and direction is obviously not uniform, and the wind parameters are correlated among different virtual wind towers (VWTs). By classification, the effective data of midspan position is taken as the research object, and the wind speed profile is divided into three categories. Type-1 shows disorderly characteristics; Type-2 shows a linear relationship; and Type-3 shows a nonlinear relationship. The wind direction is consistent with the main wind direction at the bridge site and the average wind direction of different VWTs has a high consistency. The concept of wind-direction deflection rate is put forward to describe the variation of wind direction with height. These measured wind parameters could be used as a reference for bridge wind-resistant design.

Highlights

  • Many long-span bridges have been built in mountainous valley areas, for example, Royal Gorge Bridge, (1929, 384 m), Cañon City, Colorado, USA; Aizhai Bridge (2012, 1176 m), Hunan Province, China; Longjiang Bridge (2016, 1196 m), Yunnan Province, China; and Yachihe Bridge (2016, 800 m), Guizhou Province, China; and more will be built in the future

  • Much research has been conducted in this field, the spatio-temporal distribution of wind speed in mountainous valley areas has its own unique patterns, which are generally analyzed on a case-by-case basis and are difficult to be described by a unified mathematical model

  • ItDiscussion can be found that the wind speed varies from 0 m/s to 25 m/s

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Summary

Introduction

Many long-span bridges have been built in mountainous valley areas, for example, Royal Gorge Bridge, (1929, 384 m), Cañon City, Colorado, USA; Aizhai Bridge (2012, 1176 m), Hunan Province, China; Longjiang Bridge (2016, 1196 m), Yunnan Province, China; and Yachihe Bridge (2016, 800 m), Guizhou Province, China; and more will be built in the future. Limited ited by the performance of direct measurement instruments, only limited monitoring poby the performance of direct measurement instruments, only limited monitoring positions sitions can be set up, and the location of instruments is restricted by terrain and other can be set up, and the location of instruments is restricted by terrain and other conditions; conditions; direct instruments are generally installed on the bridge deck of pytherefore, direct is instruments are to generally installed wind on theparameters bridge deck of pylons This method difficult to use obtain wide-range at bridge sites, This method is difficult to use to obtain wide-range wind parameters at bridge sites, such such as the wind profile at the bridge midspan located at deep mountainous valley. Sci. 2021, 11, 9645 the measured data is limited, and it is difficult to arrange multiple spanning direction of the bridge due to the constraints of terrain an are limited reports about the wind field measurement study of U-sha lidar. There are limited range of 0–810 m were analyzed, and wind speed and direction wer reports about the wind field measurement study of U-shaped valleys through lidar. Through screening the original data, the measured data in the range of 0–810 m were

Topography
Lidar System
The radial velocity is calculated thro
Setup of the Lidar
Figures After
Raw Data Validity
Results and shown in Figure
Wind Speed
Wind Speed Profile
Wind-Direction Distribution
Wind-Direction Deflection
Conclusions

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