CFD aided cognitive capabilities for analyzing snowdrift development around a porous fence

CFD aided cognitive capabilities for analyzing snowdrift development around a porous fence

Physical experimental investigations of snowdrift development around structures are often associated high costs with equipment, labor, time and accessibility. Computational Fluid Dynamics technique creates a CogInfoCom channel in a way to improve human cognitive abilities. This paper presents a 2D h...

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Bibliographic Details
Published in:2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom) pp. 469 - 473
Main Authors: Yizhong Xu, Mustafa, Mohamad Y., Solvang, Wei Deng
Format: Conference Proceeding
Language:English
Published: IEEE 01-11-2014
Subjects:
2D CFD simulation
Adaptation models
Atmospheric modeling
CogInfoCom
Computational fluid dynamics
Computational modeling
Mathematical model
Numerical models
Snow
snow deposition
snow fence
snowdrift development
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Summary:Physical experimental investigations of snowdrift development around structures are often associated high costs with equipment, labor, time and accessibility. Computational Fluid Dynamics technique creates a CogInfoCom channel in a way to improve human cognitive abilities. This paper presents a 2D homogeneous mixture Eulerian-Eulerian model to simulate snowdrift development around the Wyoming snow fence with its porosity of 0.50. The model allows assessing and visualizing of snowdrift development through a domain adaption strategy for the transient changes in snow surface topography. The simulation results are quantitatively in good agreement with the field observations.
DOI:10.1109/CogInfoCom.2014.7020502