The Void Fabric Study of Sand Based on Image Processing Technology

DOI

10.2991/eame-18.2018.17How to use a DOI?

Keywords

sand; void; fabric tensor; image processing; image analysis

Abstract

Sand is the discrete particle material in meso level and irregular distribution of sand void space is showed anisotropy. The reasonable description of this feature is important to study on sand strength and deformation mechanism, and the anisotropy of pore space is studied by using the directional distribution equation of the pore in this paper. Having the meso-experiment with the collected Aeolian sand which is from Tengger Desert, and performing image processing technology to the collected scanning electron microscope(SEM) image of samples to make it become binary image with clear boundary and particles separation. In order to extract the pore information in different directions from the binary image and calculate the pore distribution, we write Matlab image analysis program for directional distribution equation of the pore. We have proved that the Aeolian sand has obvious anisotropy of pore through the image analysis of the Tengger Desert samples.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yang Guo
AU  - Xuefeng Li
AU  - Daming Liu
PY  - 2018/06
DA  - 2018/06
TI  - The Void Fabric Study of Sand Based on Image Processing Technology
BT  - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
PB  - Atlantis Press
SP  - 83
EP  - 86
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-18.2018.17
DO  - 10.2991/eame-18.2018.17
ID  - Guo2018/06
ER  -