Research on Wind Field Characteristics Measured by Lidar in a U-Shaped Valley at a Bridge Site

Wang, Jun; Li, Jiawu; Wang, Rui; Hong, Guang; Xing, Song

doi:10.3390/app11209645

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…Considering the terrain and climate features of the valley, the oncoming wind direction at the bridge site may be related to the valley extension direction and the dominant wind directions [1,2,17], so three directions along the extension of the valley and two dominant wind directions were designed: 102 • , 211 • , 326 • , 90 • , and 270 • , as shown in Figure 1a. The surface roughness was set as 0.12 m, and the class C wind speed profile was set at the entrance.…”

Section: Oncoming Wind Directionmentioning

confidence: 99%

“…Research on the wind characteristics of a valley is mainly based on field measurements [1,2], wind tunnel tests [3], and numerical simulations. Although field measurement can directly obtain the wind parameter data at the measured position, it is time-consuming, labor-intensive, and requires huge investment, and the obtained wind parameters are limited in quantity, time, and space.…”

Section: Introductionmentioning

confidence: 99%

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Influence of Initial Conditions on Wind Characteristics at a Bridge Middle Span in a U-Shaped Valley by CFD and AHP

Wang

Zhang

et al. 2022

Applied Sciences

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The wind parameter distribution law at a bridge midspan in a U-shaped valley has important influence on the wind strength of this bridges. In this paper, the wind characteristics were researched by computational fluid dynamics (CFD). The surface roughness, the inlet wind speed, the wind speed profile, and the oncoming wind direction were selected as the initial conditions; the wind speed, the wind attack angle, and the wind azimuth angle were set as wind parameters; and the effect of the four initial conditions on the wind parameters was comprehensively analyzed. An innovative quantification model used to connect the coefficient of sensitivity factors with scale values was established, and the influence of initial conditions on wind parameters was studied by analytic hierarchy process (AHP) for the first time. The results show that the spatial distribution of wind characteristics in a U-shaped valley is complex and obviously affected by the initial conditions. The established quantification model has certain practicability. The AHP evaluation results showed that the influence of the oncoming wind direction on wind parameters was the most obvious. The influence degree of oncoming wind direction and wind speed profile on wind speed was just as important, accounting for 77.4%. The sensitivity of wind attack angle to oncoming wind direction was 60.8%, which was much higher than the surface roughness, inlet wind speed, and wind speed profile. The influence degree of oncoming wind direction on wind azimuth angle was the sum of the other three initial conditions.

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Section: Oncoming Wind Directionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of Initial Conditions on Wind Characteristics at a Bridge Middle Span in a U-Shaped Valley by CFD and AHP

Wang

Zhang

et al. 2022

Applied Sciences

Self Cite

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show abstract

“…Field measurement, wind tunnel test (WTT), and computational fluid dynamics (CFD) numerical simulation are conventional research methods in structural wind engineering [1,2]. WTT can study the interaction between the model with a certain scale ratio and the simulated gas flow, and the numerical simulation can observe the gas flow globally at full scale and provide the entire flow field data.…”

Section: Introductionmentioning

confidence: 99%

Correction of Field-Measured Wind Speed Affected by Deterministic Interference Factors

et al. 2022

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The observations of meteorological wind speed may be biased due to the influence of various distractions. Therefore, the original measured data should be corrected in a targeted manner. Wind tunnel tests (WTT) and computational fluid dynamics (CFD) numerical simulation methods are used to study the local wind environment characteristics of observation sites in Noi Ling Ding Island (NLDI) and Ping An International Financial Center (PAFC) in the Shenzhen area. The interference effects of NLDI and the building components and instruments in the hollow-layer atop PAFC on their corresponding anemometer measurement results were analyzed, and a quantitative description was provided with the wind speed influence coefficient (CVI), which is the wind speed ratio in disturbed and undisturbed cases. Results show that the CVI of WTT at the NLDI site is slightly higher than that of CFD, and the wind speed in the wind-sensitive direction is accelerated by 12% due to the influence of NLDI. The large pillars at the corner of PAFC have a considerable occlusion effect on the wind speed under the wind direction of 45°. An acceleration effect with CVI of 1.163 is found in the dominant wind direction when instruments are absent atop the hollow-layer, whereas a sheltering effect is observed with the CVI of 0.593 when instruments are present. These results are used to correct the recorded wind speed at the NLDI and PAFC sites during Super Typhoon Manghut with No. 201822, and then converted into the 10 min mean wind pressure value at 10 m height under the standard landform. The reference wind pressure values obtained are 0.526 and 0.505 kPa. The analogous conversion values achieve the purpose of mutual verification, and the effectiveness and reliability of the methodologies are presented.

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Combined wind profile characteristics based on wind parameters joint probability model in a mountainous gorge

Zhang

Jiang

et al. 2022

Nat Hazards

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Long-span bridges in mountainous areas are greatly disturbed by wind, and the wind field in the mountain gorge bridge site is extremely complex. Therefore, it is of great engineering significance to accurately evaluate the wind field characteristics of this kind of terrain. In this paper, to enhance understanding of this kind of wind field, the wind field in a mountainous gorge is measured for a long time using wind radar, and the mean wind parameters is statistically analyzed.The results show that the mean wind parameters vary greatly under different wind directions, and the wind speed profile does not meet the power-law model. Therefore, a mixed model suitable for the wind speed profile in a mountainous gorge is proposed. Additionally, GEV distribution and Logistic distribution are found to be suitable for describing the distribution characteristics of wind speed and angle of attack, respectively. In addition, considering the correlation between wind parameters, this paper also constructs the joint probability model of wind speed and angle of attack at different heights by the Copula function. Thus, a combined wind parameters profile model is developed under different exceedance probabilities based on the inverse first-order reliability method (IFORM). This study can provide a reference for the construction of the joint probability model of wind parameters.

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Research on Wind Field Characteristics Measured by Lidar in a U-Shaped Valley at a Bridge Site

Cited by 7 publications

References 29 publications

Influence of Initial Conditions on Wind Characteristics at a Bridge Middle Span in a U-Shaped Valley by CFD and AHP

Influence of Initial Conditions on Wind Characteristics at a Bridge Middle Span in a U-Shaped Valley by CFD and AHP

Correction of Field-Measured Wind Speed Affected by Deterministic Interference Factors

Combined wind profile characteristics based on wind parameters joint probability model in a mountainous gorge

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