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

Data in Brief

Joost van der Linden¹  Wenbin Fei²  Xiuxiu Miao²  Guillermo Narsilio²  Mahdi Disfani²  Tabassom Afshar³  Baohua Yang⁴ 

[1] Corresponding author.;Department of Infrastructure Engineering, The University of Melbourne, Parkville, Australia;Information Science and Engineering School, Hunan Women's University, Changsha, Hunan Province 10004, China;State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, Jiangsu Province 221116, China;

关键词: Sand;    X-ray CT;    Network;    Graph theory;    Complex network model;    Granular materials;   

DOI  :  

来源: DOAJ

【 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.

【 授权许可】

Unknown