Knowledge Resource Center for Ecological Environment in Arid Area
The Void Fabric Study of Sand Based on Image Processing Technology | |
Guo, Yang1,2; Li, Xuefeng2; Liu, Daming1 | |
通讯作者 | Li, Xuefeng |
会议名称 | 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME) |
会议日期 | JUN 24-25, 2018 |
会议地点 | Xian, PEOPLES R CHINA |
英文摘要 | 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. |
英文关键词 | sand void fabric tensor image processing image analysis |
来源出版物 | PROCEEDINGS OF THE 2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING (EAME 2018) |
ISSN | 2352-5401 |
出版年 | 2018 |
卷号 | 127 |
页码 | 83-86 |
EISBN | 978-94-6252-538-2 |
出版者 | ATLANTIS PRESS |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | CPCI-S |
WOS记录号 | WOS:000452668800017 |
WOS类目 | Engineering, Multidisciplinary ; Engineering, Electrical & Electronic ; Engineering, Mechanical |
WOS研究方向 | Engineering |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/307462 |
作者单位 | 1.Ningxia Univ, Sch Phys & Elect Informat, Yinchuan 750021, Peoples R China; 2.Ningxia Univ, Solid Mech Inst, Yinchuan 750021, Peoples R China |
推荐引用方式 GB/T 7714 | Guo, Yang,Li, Xuefeng,Liu, Daming. The Void Fabric Study of Sand Based on Image Processing Technology[C]:ATLANTIS PRESS,2018:83-86. |
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