Effective, anisotropic elasticity tensor of snow, firn, and bubbly ice ...

• Main Authors: Sundu, Kavitha, Freitag, Johannes, Fourteau, Kévin, Löwe, Henning
• Format: Dataset
• Language: English
• Published: EnviDat 2023
• Subjects: ANISOTROPY; CRYSTALLOGRAPHIC; ELASTICITY; FEM; GEOMETRICAL; MICROSTRUCTURE; X-RAY TOMOGRAPHY; Antarc*; Antarctica; Arctic
• Online Access: https://dx.doi.org/10.16904/envidat.462; https://envidat.ch/#/metadata/effective_anisotropic_elasticity_tensor_of_snow_firn_and_bubbly_ice

The study aims to determine the effective elastic properties of snow, firn, and bubbly ice based on microstructural quantities. Anisotropy, one of these quantities (the other being ice volume fraction) in snow and ice, has two types: geometrical and crystallographic, resulting in snow's macroscopic anisotropic elastic behavior. The research focuses on the impact of geometrical anisotropy on potential ice volume fractions in snow and ice. 391 micro-CT images from various locations, including laboratories, the Alps, the Arctic, and Antarctica, were analyzed to achieve this. The analysis involved microstructure-based finite element simulations, which inherently consider microstructure and calculate the elasticity tensor. Hashin-Shtrikman bounds were utilized to predict the elastic properties of the microstructure samples. These bounds effectively captured the nonlinear interplay between geometrical anisotropy, captured by the Eshelby tensor and density. HS bounds have the advantage of the correct limiting ...