Comparative study of full-scale and model-scale wind pressure measurements on a gable roof low-rise building

Li, J.C.; Hu, Shangyu; Li, Q.S.

doi:10.1016/j.jweia.2020.104448

Cited by 13 publications

(3 citation statements)

References 42 publications

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“…Furthermore, they afford avenues for testing and refining widely employed modeling techniques. They offer a platform for scrutinizing results garnered from computer-based analyses against those derived from actual measurements, thereby discerning potential disparities (Li et al, 2020;Chu, 2023;Gough et al, 2018). This approach engenders greater dependability in ascertaining the impact of wind flow on buildings.…”

Section: Introductionmentioning

confidence: 99%

Examining Wind Flow's Impact on Multi-Storey Buildings: A Quest for Quality Improvement

Myroniuk,

Furdas,

Zhelykh

et al. 2024

Production Engineering Archives

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This scientific article delves into the intricacies of wind flow's impact on multi-storey buildings, presenting results from a series of experimental investigations. The research encompasses an examination of wind interactions with buildings of varying heights and geometric profiles. Furthermore, it unveils the effects of tall structures on the natural ventilation and smoke evacuation systems of shorter edifices, considering different wind flow directions. The study leverages specialized wind tunnel and measurement techniques for a comprehensive analysis of wind-induced loads on buildings. The acquired insights furnish crucial input for the design of single-story temporary modular constructions within densely populated urban areas, subject to wind-induced stresses. Additionally, they hold potential applicability in the advancement of energy-efficient technologies and strategies within the realm of construction. The acquired dataset underscores the criticality of scrutinizing wind flow's impact on structures of varied typologies and dimensions and will allow to significantly improve the quality and efficiency of modern buildings in the future.

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Section: Introductionmentioning

confidence: 99%

Examining Wind Flow's Impact on Multi-Storey Buildings: A Quest for Quality Improvement

Myroniuk,

Furdas,

Zhelykh

et al. 2024

Production Engineering Archives

View full text Add to dashboard Cite

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“…There are currently three main methods to determine wind pressure coefficients, i.e., field experiment, wind tunnel test, and computational fluid dynamics (CFD). These methods were compared and presented, and the effects of greenhouse type, greenhouse roof angle and roof spacing were discussed respectively to determine the wind pressure on low-rise buildings or greenhouses in [11][12][13][14]. In these documents, Agronomy 2023, 13, 553 2 of 19 only Wang et al [14] mentioned the impact of topographic factors such as mountain terrain on greenhouse partial pressure, but they still did not give a specific research plan.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Wind Pressure Coefficients for Single-Span Arched Plastic Greenhouses Located in a Valley Region Using CFD

Liang

et al. 2023

Agronomy

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The wind pressure coefficient is essential for calculating the wind loads on greenhouses. The wind pressure on single-span arched greenhouses built in valleys differs from those in plain regions. To promote our understanding of wind characteristics and ensure the structural safety of greenhouses in valley areas, an analysis of the distribution law of wind pressure on greenhouses is required. Firstly, we carried out a survey on greenhouse distribution and undulate terrain distribution near greenhouses in Tibet and measured the air density in Lhasa, Tibet. Then, employing the validated realizable k-ε turbulence model and the verification of grid independence, the wind pressure on greenhouses with different greenhouse azimuths was investigated. According to the survey results, values, such as the distance between the greenhouse and the mountain in addition to the greenhouse azimuth, were also obtained for calculating the wind pressure on greenhouses placed in valleys. A calculation model considering the relationship between the mountain distance and the wind pressure coefficient is proposed, whose results fit well with the results from computational fluid dynamics. The relative errors between the two different results are within 15%. Research shows that there is a canyon wind effect in the valley area, and its effect on wind pressure should be considered in greenhouse design. This research is valuable for the design of plastic greenhouses built in Tibet or other valley regions.

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“…Wind characteristics such as probability distribution, auto-correlations, and power spectrum were presented and discussed based on field measurement data collected in Aylesbury [7]. Aiming to study wind effects on low-rise buildings and offer reliable full-scale observations for wind tunnel tests and numerical simulation, Li et al conducted a full-scale experiment in a typhoon-prone area in China [30]. The wind rose diagram, mean wind speed and angle, and other wind characteristics were calculated in detail using real-time wind data from the structural health monitoring system (SHMS) of the Runyang suspension bridge.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of the Fluctuating Wind Characteristics of Typhoon Jangmi Measured at the Top of a Building

Wang

et al. 2022

Sustainability

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Based on wind field data measured during the landfall of Typhoon Jangmi in Wenzhou in 2008, this study analyzes wind field characteristics, including wind speed, wind direction, probability density, turbulence intensity, gust factor, peak factor, power spectrum, turbulence integral scale, coherence, and the autocorrelation coefficient of Typhoon Jangmi. Results showed that the wind field characteristics for the east and west measuring points were basically the same and followed an approximately similar pattern. The probability density of fluctuating wind tends to obey a Gaussian distribution. The turbulence intensity gradually decreases with increasing 10 min averaged wind speed, but the reduction rate gradually drops. The turbulence intensity is affected by the change in a time interval because turbulence intensity decreases as the time interval increases. With an increase in the 10 min average wind speed and time interval, the gust factor decreases. The peak factor decreases, though insignificantly, with increasing mean wind speed, and the distribution of peak factors is greatly scattered. The variation in the peak factor with time is in good agreement with the Durst curve. The gust factor increases as the turbulence intensity increases and is in line with the empirical curves of Ishizaki, Choi, and Cao. The power spectra of the fluctuating wind speed of Typhoon Jangmi in all directions agree well with Von Karman’s empirical spectrum. The turbulence integral scale increases slightly with increasing average wind speed, and the distribution is relatively scattered. The coherence of the fluctuating wind speed components matches the exponential function proposed by Davenport, and the autocorrelation coefficient decreases as τ increases.

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Comparative study of full-scale and model-scale wind pressure measurements on a gable roof low-rise building

Cited by 13 publications

References 42 publications

Examining Wind Flow's Impact on Multi-Storey Buildings: A Quest for Quality Improvement

Examining Wind Flow's Impact on Multi-Storey Buildings: A Quest for Quality Improvement

Analysis of Wind Pressure Coefficients for Single-Span Arched Plastic Greenhouses Located in a Valley Region Using CFD

Experimental Study of the Fluctuating Wind Characteristics of Typhoon Jangmi Measured at the Top of a Building

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