X-ray computed tomography images and network data of sands under compression

被引:7
|
作者
Fei, Wenbin [1 ]
Narsilio, Guillermo [1 ]
Linden, Joost van der [1 ]
Disfani, Mahdi [1 ]
Miao, Xiuxiu [2 ]
Yang, Baohua [3 ]
Afshar, Tabassom [4 ]
机构
[1] Univ Melbourne, Dept Infrastruct Engn, Parkville, Vic, Australia
[2] China Univ Min & Technol, State Key Lab Geomech & Deep Underground Engn, Xuzhou 221116, Jiangsu, Peoples R China
[3] Hunan Womens Univ, Informat Sci & Engn Sch, Changsha 10004, Hunan, Peoples R China
[4] FSG Geotech & Fdn, Abbotsford, Australia
来源
DATA IN BRIEF | 2021年 / 36卷
关键词
Sand; X-ray CT; Network; Graph theory; Complex network model; Granular materials; Microstructure; Soil fabric; MORPHOLOGY;
D O I
10.1016/j.dib.2021.107122
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Ottawa sand and Angular sand consist of particles with distinct shapes. The x-ray computed tomography (XCT) image stacks of their in-situ confined compressive testings are provided in this paper. For each image stack, a contact network, a thermal network and a network feature - edge betweenness centrality - of each edge in the networks are also provided. The readers can use the image data to construct digital sands with applications of (1) extracting microstructural parameters such as particle size, particle shape, coordination number and more network features; (2) analysing mechanical behaviour and transport processes such as fluid flow, heat transfer and electrical conduction using either traditional simulation tools such as finite element method and discrete element method or newly network models which could be built based on the network files available here. (C) 2021 The Author(s). Published by Elsevier Inc.
引用
收藏
页数:7
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