Field measurement and investigation of spatial coherence for near-surface strong winds in Southeast China

Peng, Yongbo; Wang, Shifen; Li, Jie

doi:10.1016/j.jweia.2017.11.012

Cited by 45 publications

(16 citation statements)

References 31 publications

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“…Figure 11 plots the variations in I u with wind speed at 10-, 30-, and 50-m levels, respectively. In order to reflect the trend of turbulent intensity with wind speed to some extent, the power law function is adopted to fit the data (Cheung et al, 2016;Peng et al, 2018). From the figures, when the wind speed is low, the greater the turbulence intensity and the degree of dispersion, also see the fitting curve, it can also be shown that the turbulence intensity decreases with the increase in wind speed.…”

Section: Turbulence Intensity and Integral Length Scalementioning

confidence: 99%

Comparison of wind characteristics at different heights of deep-cut canyon based on field measurement

Zhang

et al. 2019

Advances in Structural Engineering

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The typical U-shaped deep-cut canyon is widely distributed in the western mountainous areas of China, especially in Sichuan province and Yunnan province. The deep-cut canyon has the characteristics of the high drop in elevation, high-temperature difference, and complex wind environment. A 50 m high meteorological mast with a total of eight anemometers was erected in such topography, and a long-span suspension bridge will be constructed in the area where the meteorological mast is located. Based on the long-term monitor data, the wind characteristic parameters including average and fluctuating wind characteristics and coherence between different heights are investigated. The results are as follows. The dominant wind direction which depends on the topography is north–south. The attack angle of wind is mainly less than zero, and its probability distribution obeys the hypothetical Gaussian distribution. Both the increases in height of anemometer and in wind speed reduce the dispersion of the attack angle of wind. The gust factor has a similar change law of attack angle of wind. Turbulence intensities are affected by the height of the anemometer and the wind speed, and they are different from the recommended value of China Codes. In terms of turbulence integral length scale, the value increases with an increase in the height of the anemometer in the same component. The largest value occurs in the longitudinal direction and the smallest occurs in the vertical direction at the same level. The coherence between any two locations is relatively strong, and the longitudinal component is stronger than others. The measured wind power spectrum for longitudinal, lateral, and vertical wind in deep-cut canyon fits the von Kármán model better.

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Section: Turbulence Intensity and Integral Length Scalementioning

confidence: 99%

Comparison of wind characteristics at different heights of deep-cut canyon based on field measurement

Zhang

et al. 2019

Advances in Structural Engineering

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“…The turbulent integral length scale represents the mean vortex scale of the fluctuating wind (Peng et al, 2018), which can be calculated using equation (1) (Bai et al, 2012; Lothon et al, 2006) based on Taylor’s hypothesis…”

Section: Resultsmentioning

confidence: 99%

“…Shiau (2000) measured the wind characteristics on the northeastern coast of Taiwan under high-wind conditions. Peng et al (2018) investigated the spatial coherence in near-surface strong winds in Southeast China via field measurements by using several ultrasonic anemometers. Shu et al (2018) investigated the relationship between the wind direction and height via a Doppler wind profiler and surface weather station in Hong Kong, China.…”

Section: Introductionmentioning

confidence: 99%

Influence of elevated water levels on wind field characteristics at a bridge site

Jing

Liao

et al. 2019

Advances in Structural Engineering

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The influence of elevated water levels on wind field characteristics at bridge sites owing to hydroelectric power stations plays an important role in bridge engineering, particularly in mountainous valley regions. To investigate this issue, a comparative experimental study, which uses a topographic model with two water level states for determining the influence on wind field characteristics at the proposed bridge site located in a mountainous valley area, was conducted in the XNJD-3 wind tunnel at Southwest Jiaotong University, Chengdu, PR China. The altitude difference between the two water level states was approximately 200 m, whereas uniform and D-type boundary layer air inflow conditions were adopted during the wind tunnel test, respectively. The wind speed at the bridge girder and profile of the 1/4, mid, and 3/4 spans were recorded during the experiment. The test results indicated that after the water level was raised, the mean wind speed (or speed-up factor) along the bridge girder decreased by approximately 10%, and the values of the wind profile also decreased. However, the wind profile curve shapes remained approximately unchanged, and the wind attack angle was significantly transformed by approximately 5° in certain locations of the bridge girder. Moreover, the variation in the water level had a negligible influence on the turbulence intensities, turbulence integral length scales, probability distribution of fluctuating wind components, and turbulent wind spectra along the bridge girder. Therefore, as the water level in the canyon rises, the wind field characteristics at the bridge site tend to be conducive to bridge safety. Therefore, long-span bridges located in mountainous valley areas should be designed appropriately according to the expected minimum water level of the river.

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“…Then, select the maximum in each column of X = (x ij ) 8×6 to obtain the optimal objects S + 0 and select the minimum in each column to get the worst object S − 0 . The correlation coefficient of each scheme with the optimal object and the worst object in each index can be calculated by Equations (11) and (12),…”

Section: Weight Allocation Of Evaluation Indexesmentioning

confidence: 99%

Experimental and Numerical Investigation of Wind Characteristics over Mountainous Valley Bridge Site Considering Improved Boundary Transition Sections

et al. 2020

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To study wind characteristics over mountainous terrain, the Xiangjiang Bridge site was employed in this paper. The improved boundary transition sections (BTS) were adopted to reduce the influence of “artificial cliffs” of the terrain model on the wind characteristics at the bridge site over the mountainous terrain. Numerical simulation and experimental investigations on wind characteristics over mountainous terrain with/without BTS were conducted for different cases, respectively. The research results show that the cross-bridge wind speed ratios and wind attack angles at the main deck level vary greatly along the bridge axis, which can be roughly divided into three parts, namely the mountain (I, III) and central canyon areas (II). The cross-bridge wind speed ratios at the main deck level with BTS is generally larger than that without BTS in the central canyon area (II) for most cases, while the opposite trend can be found in wind attack angles. The longitudinal wind speed ratios of the terrain model with BTS at L/4, L/2, and 3L/4 of the bridge length are larger than that of the terrain model without BTS for most cases. In general, the maximum relative error between numerical results and experimental results is about 30% for most cases.

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Field measurement and investigation of spatial coherence for near-surface strong winds in Southeast China

Cited by 45 publications

References 31 publications

Comparison of wind characteristics at different heights of deep-cut canyon based on field measurement

Comparison of wind characteristics at different heights of deep-cut canyon based on field measurement

Influence of elevated water levels on wind field characteristics at a bridge site

Experimental and Numerical Investigation of Wind Characteristics over Mountainous Valley Bridge Site Considering Improved Boundary Transition Sections

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