Characterizing Fabric Anisotropy of Air-Pluviated Sands
Sand particles depositing through air generally align their largest dimensions in horizontal plane, forming a cross anisotropic fabric. Therefore, sands display varying strength, permeability, compressibility with directions. This study characterizes fabric anisotropy in loose and dense air-pluviate...
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2019-01-01
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doaj-37511052c670417e8f7732c8172aa6862021-02-02T02:45:45ZengEDP SciencesE3S Web of Conferences2267-12422019-01-01920100310.1051/e3sconf/20199201003e3sconf_isg2019_01003Characterizing Fabric Anisotropy of Air-Pluviated SandsSun QuanZheng JunxingHe HantaoLi ZhaochaoSand particles depositing through air generally align their largest dimensions in horizontal plane, forming a cross anisotropic fabric. Therefore, sands display varying strength, permeability, compressibility with directions. This study characterizes fabric anisotropy in loose and dense air-pluviated sand specimens scanned by X-ray Computed Tomography (X-ray CT) using a series of image processing techniques. The principal component analysis, three-dimensional watershed analysis, and Delaunay triangulation technique are used to compute directional parameters, including particle long axes, contact normals, and branch vectors, and scalar parameters, including index void ratios, coordination number, and average branch vector length. The particle long axes and branch vectors displayed preferred horizontal directions while the contact normals displayed preferred vertical directions. The dense specimen has smaller index void ratios, larger coordination number, and smaller average branch vector length than the loose specimen.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/18/e3sconf_isg2019_01003.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sun Quan Zheng Junxing He Hantao Li Zhaochao |
spellingShingle |
Sun Quan Zheng Junxing He Hantao Li Zhaochao Characterizing Fabric Anisotropy of Air-Pluviated Sands E3S Web of Conferences |
author_facet |
Sun Quan Zheng Junxing He Hantao Li Zhaochao |
author_sort |
Sun Quan |
title |
Characterizing Fabric Anisotropy of Air-Pluviated Sands |
title_short |
Characterizing Fabric Anisotropy of Air-Pluviated Sands |
title_full |
Characterizing Fabric Anisotropy of Air-Pluviated Sands |
title_fullStr |
Characterizing Fabric Anisotropy of Air-Pluviated Sands |
title_full_unstemmed |
Characterizing Fabric Anisotropy of Air-Pluviated Sands |
title_sort |
characterizing fabric anisotropy of air-pluviated sands |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2019-01-01 |
description |
Sand particles depositing through air generally align their largest dimensions in horizontal plane, forming a cross anisotropic fabric. Therefore, sands display varying strength, permeability, compressibility with directions. This study characterizes fabric anisotropy in loose and dense air-pluviated sand specimens scanned by X-ray Computed Tomography (X-ray CT) using a series of image processing techniques. The principal component analysis, three-dimensional watershed analysis, and Delaunay triangulation technique are used to compute directional parameters, including particle long axes, contact normals, and branch vectors, and scalar parameters, including index void ratios, coordination number, and average branch vector length. The particle long axes and branch vectors displayed preferred horizontal directions while the contact normals displayed preferred vertical directions. The dense specimen has smaller index void ratios, larger coordination number, and smaller average branch vector length than the loose specimen. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/18/e3sconf_isg2019_01003.pdf |
work_keys_str_mv |
AT sunquan characterizingfabricanisotropyofairpluviatedsands AT zhengjunxing characterizingfabricanisotropyofairpluviatedsands AT hehantao characterizingfabricanisotropyofairpluviatedsands AT lizhaochao characterizingfabricanisotropyofairpluviatedsands |
_version_ |
1724309230157037568 |