Difference between revisions of "Snow documentation"
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By Alsidqi Hasan |
By Alsidqi Hasan |
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'''Introduction''' |
'''Introduction''' |
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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 |
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. |
Contrast Tomography (DCT) technique. |
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[[File:xrays.jpg]] |
[[File:xrays.jpg]] |
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| − | In the mean time the DEM algorithm is implemented YADE in the older version of yade. The algorithm converts each grain image into polyhedral elements that consist of several facets. |
+ | In the mean time the DEM algorithm is implemented YADE in the older version of yade. The algorithm converts each grain image into polyhedral elements that consist of several facets. |
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Revision as of 13:40, 1 October 2010
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).
Introduction
A novel Discrete Element Method (DEM) employing polyhedral elements based on experimental set-up parameters 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.
In the mean time the DEM algorithm is implemented YADE in the older version of yade. The algorithm converts each grain image into polyhedral elements that consist of several facets.
