Difference between revisions of "Snow documentation"
From Yade
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By Alsidqi Hasan |
By Alsidqi Hasan |
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+ | This development is supported by the French National Agency of Research (ANR), via the "Snow White" project (ANR-06-BLAN-0396-01). It is currently not part of the main Yade source, please contact [https://yade-dem.org/wiki/Authors_and_contributors#Yade_developers Bruno Chareyre] for more information. |
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'''Introduction''' |
'''Introduction''' |
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− | A novel Discrete Element Method (DEM) employing polyhedral elements based on experimental |
+ | A novel Discrete Element Method (DEM) employing polyhedral elements based on experimental data is developed. It is implemented in an algorithm that simulates a dynamic model of creep deformation based on observed snow grains packing. |
+ | The model uses a grain-scale algorithm that requires geometrical input parameters from a |
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+ | three-dimensional (3D) scans of the observed snow grains packing. The 3D high resolution image was obtained from scanning a cylindrical snow specimen using Synchrotron X-ray Diffraction |
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+ | Contrast Tomography (DCT) technique. |
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+ | [[File:xrays.jpg|800px|thumb|left|A scanned ice grains packing.]] |
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+ | A reconstruction algorithm is used to convert tomography data into a set of grains, represented as a set of parallel layers. The orientation of layers correspond to crystallographic planes, and the layers can slide relative to each other according to a viscous creep law, thus simulating the deformation of mono-crystaline ice grains. |
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+ | [[File:Grain34.jpeg|800px|thumb|left|Geometry obtained after tomography (left), and polyhedral representation in Yade (right).]] |
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− | [[File:xrays.jpg]] |
Latest revision as of 11:55, 24 January 2011
By Alsidqi Hasan
This development is supported by the French National Agency of Research (ANR), via the "Snow White" project (ANR-06-BLAN-0396-01). It is currently not part of the main Yade source, please contact Bruno Chareyre for more information.
Introduction
A novel Discrete Element Method (DEM) employing polyhedral elements based on experimental data is developed. It is implemented in an algorithm that simulates a dynamic model of creep deformation based on observed snow grains packing. The model uses a grain-scale algorithm that requires geometrical input parameters from a three-dimensional (3D) scans of the observed snow grains packing. The 3D high resolution image was obtained from scanning a cylindrical snow specimen using Synchrotron X-ray Diffraction Contrast Tomography (DCT) technique.
A reconstruction algorithm is used to convert tomography data into a set of grains, represented as a set of parallel layers. The orientation of layers correspond to crystallographic planes, and the layers can slide relative to each other according to a viscous creep law, thus simulating the deformation of mono-crystaline ice grains.