globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2017MS001046
Scopus记录号: 2-s2.0-85045633941
论文题名:
A Mass Diffusion Model for Dry Snow Utilizing a Fabric Tensor to Characterize Anisotropy
作者: Shertzer R; H; , Adams E; E
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2018
卷: 10, 期:3
起始页码: 881
结束页码: 890
语种: 英语
英文关键词: Anisotropy ; Continuum mechanics ; Diffusion ; Diffusion in liquids ; Diffusion in solids ; Fabrics ; Ice ; Microstructural evolution ; Microstructure ; Tensors ; Water vapor ; Effective property ; Macroscopic materials ; Microstructural features ; Microstructural variables ; Multi-scale approaches ; Second-order tensors ; Tensor representation ; Water vapor diffusion ; Snow ; algorithm ; anisotropy ; continuum mechanics ; equipment ; field method ; laboratory method ; microscopy ; microstructure ; numerical model ; water vapor
英文摘要: A homogenization algorithm for randomly distributed microstructures is applied to develop a mass diffusion model for dry snow. Homogenization is a multiscale approach linking constituent behavior at the microscopic level—among ice and air—to the macroscopic material—snow. Principles of continuum mechanics at the microscopic scale describe water vapor diffusion across an ice grain's surface to the air-filled pore space. Volume averaging and a localization assumption scale up and down, respectively, between microscopic and macroscopic scales. The model yields a mass diffusivity expression at the macroscopic scale that is, in general, a second-order tensor parameterized by both bulk and microstructural variables. The model predicts a mass diffusivity of water vapor through snow that is less than that through air. Mass diffusivity is expected to decrease linearly with ice volume fraction. Potential anisotropy in snow's mass diffusivity is captured due to the tensor representation. The tensor is built from directional data assigned to specific, idealized microstructural features. Such anisotropy has been observed in the field and laboratories in snow morphologies of interest such as weak layers of depth hoar and near-surface facets. © 2018. The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75640
Appears in Collections:影响、适应和脆弱性
气候变化与战略

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作者单位: Department of Engineering Mechanics, U.S. Air Force AcademyCO, United States; Department of Civil Engineering, Montana State University, Bozeman, MT, United States

Recommended Citation:
Shertzer R,H,, Adams E,et al. A Mass Diffusion Model for Dry Snow Utilizing a Fabric Tensor to Characterize Anisotropy[J]. Journal of Advances in Modeling Earth Systems,2018-01-01,10(3)
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