Elastic properties of sands, Part 1: Micro computed tomography image analysis of grain shapes and their relationship with microstructure
被引:6
作者:
Ahmed, Zubair
论文数: 0引用数: 0
h-index: 0
机构:
Curtin Univ, Explorat Geophys, Kent St, Bentley, WA 6102, Australia
Deep Explorat Technol Cooperat Res Ctr, POB 66,Export Pk, Adelaide Airport, SA 5950, AustraliaCurtin Univ, Explorat Geophys, Kent St, Bentley, WA 6102, Australia
Ahmed, Zubair
[1
,2
]
Lebedev, Maxim
论文数: 0引用数: 0
h-index: 0
机构:
Curtin Univ, Explorat Geophys, Kent St, Bentley, WA 6102, Australia
Deep Explorat Technol Cooperat Res Ctr, POB 66,Export Pk, Adelaide Airport, SA 5950, AustraliaCurtin Univ, Explorat Geophys, Kent St, Bentley, WA 6102, Australia
Lebedev, Maxim
[1
,2
]
机构:
[1] Curtin Univ, Explorat Geophys, Kent St, Bentley, WA 6102, Australia
[2] Deep Explorat Technol Cooperat Res Ctr, POB 66,Export Pk, Adelaide Airport, SA 5950, Australia
3D CHARACTERIZATION;
RECONSTRUCTION;
PERFORMANCE;
POROSITY;
PACKING;
SPHERES;
VOLUME;
MODEL;
D O I:
10.1111/1365-2478.12652
中图分类号:
P3 [地球物理学];
P59 [地球化学];
学科分类号:
0708 ;
070902 ;
摘要:
Elastic properties of an unconsolidated sand are largely dependent on the elastic properties of its constituent grain and the micro-structure that defines how the grains are arranged within themselves. Coordination number, that is the average number of contacts a grain has with its neighbours, and contact surface area are the two parameters closely related to the microstructure. Moreover, grain shapes and sorting also have substantial influence on these parameters. To calculate these parameters and find any potential relationships with the shape factors, we acquire high-resolution micro computed tomography images of four mechanically compacted unconsolidated dry sand samples that are of different shape factors and sorting indices. After a comprehensive voxel-based data processing, we calculate shape factors such as sphericity and roundness of each grain in all samples. Using own algorithm, we then calculate the coordination number and contact surface area. Results show that samples of well-sorted and higher spherical and rounded grains have higher coordination number and contact surface area than the samples of poorly sorted and lower spherical and rounded grains. Among the poorly sorted samples, coordination number is largely dependent on the fraction of larger grain sizes present in the sample. Inside any given sample, grains of lower sphericity tend to have higher coordination numbers. Moreover, more spherical and rounded grains have greater contact surface area with their neighbours.