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DOI: 10.1002/2015GL065227
论文题名:
Linking snow microstructure to its macroscopic elastic stiffness tensor: A numerical homogenization method and its application to 3-D images from X-ray tomography
作者: Wautier A.; Geindreau C.; Flin F.
刊名: Geophysical Research Letters
ISSN: 0094-8577
EISSN: 1944-8308
出版年: 2015
卷: 42, 期:19
起始页码: 8031
结束页码: 8041
语种: 英语
英文关键词: elasticity ; FEM ; homogenization ; KUBC ; microtomography ; snow
Scopus关键词: Anisotropy ; Elasticity ; Finite element method ; Homogenization method ; Imaging systems ; Numerical methods ; Stiffness ; Tensors ; Tomography ; Degree of anisotropy ; Homogenization theory ; KUBC ; Mechanical stiffness ; Micro-tomography ; Numerical homogenization ; Regression coefficient ; Representative elementary volume ; Snow ; anisotropy ; boundary condition ; homogeneity ; image analysis ; kinematics ; metamorphism ; microstructure ; numerical model ; Poisson ratio ; shear modulus ; snow ; stiffness ; three-dimensional modeling ; tomography ; X-ray ; Young modulus
英文摘要: The full 3-D macroscopic mechanical behavior of snow is investigated by solving kinematically uniform boundary condition problems derived from homogenization theories over 3-D images obtained by X-ray tomography. Snow is modeled as a porous cohesive material, and its mechanical stiffness tensor is computed within the framework of the elastic behavior of ice. The size of the optimal representative elementary volume, expressed in terms of correlation lengths, is determined through a convergence analysis of the computed effective properties. A wide range of snow densities is explored, and power laws with high regression coefficients are proposed to link the Young's and shear moduli of snow to its density. The degree of anisotropy of these properties is quantified, and Poisson's ratios are also provided. Finally, the influence of the main types of metamorphism (isothermal, temperature gradient, and wet snow metamorphism) on the elastic properties of snow and on their anisotropy is reported. Key Points A robust methodology is proposed to investigate the mechanical behavior of snow from 3-D images The full effective elastic stiffness tensor of snow was computed for 31 tomographic images The influence of density and microstructure (metamorphism, anisotropy, etc.) of snow are highlighted © 2015. American Geophysical Union. All Rights Reserved.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947026820&doi=10.1002%2f2015GL065227&partnerID=40&md5=adad2d4fc653eb9c4db3eaeb03bf26fc
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/8193
Appears in Collections:科学计划与规划
气候变化与战略

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作者单位: Météo-France - CNRS, CNRM - GAME UMR 3589, CEN, Saint-Martin-d'Hères, France

Recommended Citation:
Wautier A.,Geindreau C.,Flin F.. Linking snow microstructure to its macroscopic elastic stiffness tensor: A numerical homogenization method and its application to 3-D images from X-ray tomography[J]. Geophysical Research Letters,2015-01-01,42(19).
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