Development of Eulerian–Lagrangian simulation for snow transport in the presence of obstacles

Chen, Xiaoxiao; Yu, Zhishui

doi:10.1016/j.coldregions.2022.103730

Cited by 2 publications

(2 citation statements)

References 58 publications

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“…Eulerian-Lagrangian models for snow transport are useful to represent snow surface processes in detail, with governing equations for air and snow and precise momentum exchange representation between the two phases. Such characteristics are beneficial for snow transport prediction in urban environments (Chen & Yu, 2023). We showed in our simulations that the number of particles aloft influences the flow surface shear stress and consequent erosion in the lee of the building; capturing those effects is only possible with the inclusion of particle feedback on the airflow.…”

Section: Discussionmentioning

confidence: 75%

“…Alternatively, the E-L approach considers snow as a discrete phase and tracks the trajectories of each particle (or group of particles) separately (Tominaga et al, 2011;Zhou & Zhang, 2023). Until now, the E-L approach has been widely used to study snow transport on flat terrain (Groot Zwaaftink et al, 2013;Melo et al, 2022), but was rarely applied to research on snow drifting around obstacles due to its high computing costs (Zhou & Zhang, 2023;Chen & Yu, 2023). Our snow transport model is based on the Eulerian-Lagrangian method and entails a detailed representation of snow grain dynamics at the surface by including the three saltation initiation modes (Hames et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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Influence of snow properties, air flow and design on structure-borne snowdrifts at Neumayer Station III

Hames,

Jafari,

Köhler

et al. 2024

Preprint

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The genesis of snowdrifts and its governing processes are not fully understood. Yet, the assessment of snow redistribution by the wind is essential in snow-affected regions for risk management, water resources and mitigation tactics. Factors such as flow turbulence and snow properties showed to be crucial for the snow-wind interaction on flat terrain. In this work, we add a third component and investigate the drifting mechanisms of snow around complex building structures using numerical Euler-Lagrange simulations. The German Antarctic research station Neumayer III is investigated in particular. Results show that structure-borne snowdrifts are strongly influenced by the wind forcing, precipitation, snow cohesion and fine changes in the obstacle shape. Thus, these factors should be cautiously included in numerical models simulating snow transport at small scales.

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Section: Discussionmentioning

confidence: 75%

Section: Introductionmentioning

confidence: 99%

Influence of snow properties, air flow and design on structure-borne snowdrifts at Neumayer Station III

Hames,

Jafari,

Köhler

et al. 2024

Preprint

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Review of OpenFOAM applications in the computational wind engineering: from wind environment to wind structural engineering

Ricci

2024

Meccanica

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The use of computational fluid dynamics (CFD) in the wind engineering (WE) is generally defined as computational wind engineering (CWE). Since its foundation in 2004, the use of OpenFOAM in CWE has been increasing progressively and covers nowadays a wide range of topics, from wind environment to wind structural engineering. This paper was drafted in response to the invitation from the organizers of the 18th OpenFOAM workshop held in Genoa (Italy) on 11–14 July 2023, when a technical session on Civil Engineering and Wind Engineering was organized. In this paper the author briefly reviews the history of WE and surveys the evolution, methods, and future challenges of OpenFOAM in the CWE. Topics are here regrouped into three main research areas and discussed from a physical, engineering and purely computational perspective. The study does not cover the Wind Energy and related topics, since this can be considered nowadays as a stand-alone subfield of the WE. This review confirms that OpenFOAM is a versatile tool widely used for WE applications that often require new models to be developed ad hoc by CFD users. It can be coupled easily with numerical weather prediction models for mesoscale-microscale wind and thermal studies, with building energy simulation models to determine the energy demand, with finite element method for structural engineering design. OpenFOAM represents an extraordinary opportunity for all CFD users worldwide to share codes and case studies, to explore the potential of new functionalities and strengthen the network within the CFD community.

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Development of Eulerian–Lagrangian simulation for snow transport in the presence of obstacles

Cited by 2 publications

References 58 publications

Influence of snow properties, air flow and design on structure-borne snowdrifts at Neumayer Station III

Influence of snow properties, air flow and design on structure-borne snowdrifts at Neumayer Station III

Review of OpenFOAM applications in the computational wind engineering: from wind environment to wind structural engineering

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