TY - JOUR
T1 - Micromorphology characterization and reconstruction of sand particles using micro X-ray tomography and spherical harmonics
AU - Zhou, Bo
AU - Wang, Jianfeng
AU - Zhao, Budi
PY - 2015/1/14
Y1 - 2015/1/14
N2 - The particle micromorphology created by geological processes is an essential characteristic in determining the mechanical properties of natural sands. Based on micro X-ray computed tomography (μCT) data, we introduce a mathematical procedure using spherical harmonics to characterize and reconstruct the particle micromorphology in three dimensions. The basic geometric properties of natural sand particles, volume and surface area, and two empirical engineering indices, sphericity and angularity, are the main focus of the investigation using spherical harmonic analysis. By validating the spherical harmonic analysis against the tomography data, it is shown to be a robust technique for reproducing particle micromorphology in terms of the shape irregularity and surface texture. The precision of the method depends on the resolution of the μCT and the maximum harmonic degree used. Finally, by using principal component analysis for spherical harmonic descriptors of the scanned particles, two different kinds of sand assemblies consisting of statistically reconstructed particles with random shapes but major morphological features are successfully generated. This approach will be useful for the efficient discrete element modeling of real sands in the future.
AB - The particle micromorphology created by geological processes is an essential characteristic in determining the mechanical properties of natural sands. Based on micro X-ray computed tomography (μCT) data, we introduce a mathematical procedure using spherical harmonics to characterize and reconstruct the particle micromorphology in three dimensions. The basic geometric properties of natural sand particles, volume and surface area, and two empirical engineering indices, sphericity and angularity, are the main focus of the investigation using spherical harmonic analysis. By validating the spherical harmonic analysis against the tomography data, it is shown to be a robust technique for reproducing particle micromorphology in terms of the shape irregularity and surface texture. The precision of the method depends on the resolution of the μCT and the maximum harmonic degree used. Finally, by using principal component analysis for spherical harmonic descriptors of the scanned particles, two different kinds of sand assemblies consisting of statistically reconstructed particles with random shapes but major morphological features are successfully generated. This approach will be useful for the efficient discrete element modeling of real sands in the future.
KW - Particle micromorphology
KW - Random-shaped particle
KW - Spherical harmonic
KW - X-ray computed tomography
UR - http://www.scopus.com/inward/record.url?scp=84913529034&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84913529034&origin=recordpage
U2 - 10.1016/j.enggeo.2014.11.009
DO - 10.1016/j.enggeo.2014.11.009
M3 - RGC 21 - Publication in refereed journal
SN - 0013-7952
VL - 184
SP - 126
EP - 137
JO - Engineering Geology
JF - Engineering Geology
ER -