Wind tunnel test on responses of a lightweight roof structure under joint action of wind and snow loads

Zhou, Xuanyi; Qiang, Shengguan; Peng, Yasong; Gu, Ming

doi:10.1016/j.coldregions.2016.09.011

Cited by 25 publications

(4 citation statements)

References 24 publications

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“…The snow distribution on a flat roof is a typical research case for snow drifting around buildings (Zhou et al, 2016a;Zhou et al, 2016b;Liu et al, 2019). This case is designed to study the snow distribution on the roof after long-period snow drifting, and the snow load obtained is meaningful for structural design.…”

Section: Case I: Snow Distribution On a Flat Roofmentioning

confidence: 99%

“…where d is ground-normal displacement height; z 0 is aerodynamic roughness height; the von Karman constant κ is 0.40; and C 1 = 0, C 2 = 1, and C μ = 0.09, which means that we actually used the turbulence boundary conditions suggested by Richards and Hoxey (1993). Zhou et al (2016b) point out that there is a significant difference in snow distribution on the flat roof in the initial and final states, in which the number of stages is set to 3 according to the 2.5D wind tunnel test. However, there is no study to point out the appropriate stage of the snow drifting on a 3D flat roof.…”

Section: Case I: Snow Distribution On a Flat Roofmentioning

confidence: 99%

“…In cold regions, a related phenomenon may cause various types of problems such as equipment failure, traffic interruption, and structural collapse (Tominaga, 2018). Much research for snow drifting has been carried out through field measurements (Mellor and Fellers, 1986;Pomeroy and Gray, 1990;Ma et al, 2021), wind tunnel tests (Lü et al, 2012;Zhou et al, 2016b), and numerical simulations (Tominaga et al, 2011a;Huang et al, 2011;Zhou et al, 2016a).…”

Section: Introductionmentioning

confidence: 99%

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DriftScalarDyFoam: An OpenFOAM-Based Multistage Solver for Drifting Snow and Its Distribution Around Buildings

Chen

2022

Front. Earth Sci.

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There is a complex coupling relationship between the airflow and snow cover. In a period of hours or even days, the airflow will cause the redistribution of snow, and the redistribution of snow will cause the airflow to change. This study develops a dynamic mesh technology applied in snow drifting simulation through a real-time dynamic mesh update to depict the snow surface evolution process under long-period snow drifting, and a solver application named driftScalarDyFoam based on OpenFOAM is implemented. This solver divides the long-period snow drifting process into several stages, in each of which a snow transport equation is applied to predict the spatial distribution of snow, and finally, the snow surface evolves according to the erosion–deposition model. This method that we have proposed has been validated for several measured cases, including snow distribution on a flat roof and snow distribution around a building.

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Section: Case I: Snow Distribution On a Flat Roofmentioning

confidence: 99%

Section: Case I: Snow Distribution On a Flat Roofmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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DriftScalarDyFoam: An OpenFOAM-Based Multistage Solver for Drifting Snow and Its Distribution Around Buildings

Chen

2022

Front. Earth Sci.

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“…Smedley et al, 1993;O'Rourke and Auren, 1997;Thiis and Gjessing, 1999;Tsuchiya et al, 2002;Beyers and Harms, 2003;Thiis and O'Rourke, 2015) and wind-tunnel tests (e.g. Kind, 1986;Isyumov and Mikitiuk, 1990;O'Rourke et al, 2004;Zhou et al, 2014Zhou et al, , 2016aZhou et al, , 2016b, computational fluid dynamics (CFD) can be a powerful tool in solving snow-drifting engineering problems, such as the evaluation of snowdrift around buildings/structures or on building roofs (e.g. Sato et al, 1993; In press for the Journal of Wind Engineering & Industrial Aerodynamics Naaim et al, 1998;Sundsbø, 1998;Beyers et al, 2004;Tominaga et al, 2011a;Thiis and Ferreira, 2015;Zhou et al, 2016c).…”

Section: Introductionmentioning

confidence: 99%

CFD simulation of snow transport over flat, uniformly rough, open terrain: Impact of physical and computational parameters

Kang

Zhou

Hooff

et al. 2018

Journal of Wind Engineering and Industrial Aerodynamics

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In the past, Computational fluid dynamics (CFD) simulations have been successfully applied for the prediction of snow drift around buildings and on building roofs. A literature study indicates that a wide range of influential computational and physical parameters exist for snow drifting predictions in CFD, while the impact of these parameters is unclear, resulting in a lack of available CFD simulation guidelines. Therefore, this study presents a systematic and generic analysis with emphasis on the fundamentals of snow transport prediction techniques. Snow transport over flat, uniformly rough, open terrain, including snow saltation and snow suspension is successfully simulated using CFD and the results are compared to field measurements of snow concentrations for validation. This paper investigates the impact of grid resolution, falling velocity of snow, turbulent Schmidt number, threshold friction velocity of snow and turbulence model on the CFD simulation results. The results show that the falling velocity and the turbulent Schmidt number have largest impact. A slight change in the falling velocity or the turbulent Schmidt number significantly impacts the predicted snow concentration in the air. In addition, the turbulence model mainly affect the turbulent kinetic energy, another key factor that influences the numerical predictions of snow transport.

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CFD simulations can be adequate for the evaluation of snow effects on structures

Tominaga

Stathopoulos

2020

Build. Simul.

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Wind tunnel test on responses of a lightweight roof structure under joint action of wind and snow loads

Cited by 25 publications

References 24 publications

DriftScalarDyFoam: An OpenFOAM-Based Multistage Solver for Drifting Snow and Its Distribution Around Buildings

DriftScalarDyFoam: An OpenFOAM-Based Multistage Solver for Drifting Snow and Its Distribution Around Buildings

CFD simulation of snow transport over flat, uniformly rough, open terrain: Impact of physical and computational parameters

CFD simulations can be adequate for the evaluation of snow effects on structures

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