Numerical Simulation of Snow Deposition Around Living Snow Fences

Petrie, John; Zhang, Kun; Shehata, Mahmoud

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Numerical Simulation of Snow Deposition Around Living Snow Fences

2019-08-01
By Petrie, John ; Zhang, Kun ; Shehata, Mahmoud

File Language:

English

Details

Creators:

Petrie, John ; Zhang, Kun ; Shehata, Mahmoud
Corporate Creators:

California State University, Chico ; California State University, Los Angeles ; Washington State University
Corporate Contributors:

University of Alaska Fairbanks. Center for Environmentally Sustainable Transportation in Cold Climates ; United States. Department of Transportation
Subject/TRT Terms:
Publication/ Report Number:

CESTiCC Project N0. 1626
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report: 09/2016 – 08/2019
Corporate Publisher:

University of Alaska Fairbanks. Center for Environmentally Sustainable Transportation in Cold Climates
Abstract:

In this study, computational fluid dynamics (CFD) was used to investigate the air flow around porous snow fences to gain insight into snow transport and deposition in the vicinity of fences. Numerical simulations were performed to validate the CFD approach using experimental data from a wind tunnel study. Subsequent simulations were used to test the use of a porosity model to represent fence geometry and determine the effect of fence spacing for fences comprised of multiple rows. The results demonstrate that CFD simulations can reproduce the aerodynamics around porous fences. Additionally, the flow field generated with a porosity model is in close agreement with that from a model with explicit representation of fence porosity. Simulations of fences comprised of two rows spaced at various distances demonstrate that when the row spacing is small the fence behaves as a single row.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/66961/dot_66961_DS1.pdf
File Type:

[PDF - 1.98 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:e6c501cb94045a65fc9e98679f0dac6f79d4ed5ef425201fff16125d36fb83a0

File Language:

English

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