NDLI: Towards a more accurate characterization of granular media: extracting quantitative descriptors from tomographic images

Content Provider	Springer Nature Link
Author	Vlahinić, Ivan Andò, Edward Viggiani, Gioacchi Andrade, José E.
Copyright Year	2013
Abstract	Imaging, epitomized by computed tomography, continues to provide unprecedented 3D access to granular microstructures at ever-greater resolutions. The non-destructive technique has enabled deep insight into the morphology and behavior of granular materials, in situ and as a function of macroscopic states, e.g., loads. However, a significant bottleneck in this paradigm is that it ultimately yields qualitative ‘pictures’ of microstructure. Hence, a major challenge is to extract quantitative descriptors of grain-scale processes, e.g., morphological description of particles, kinematics, and spatial interactions. Existing methods, including watershed and burn algorithms, are plagued with limitations related to image resolution and with the inability to sharply identify grain-to-grain contact regions, which is crucial for studying force transmission and strength in granular materials. In this work, we propose a method to overcome these drawbacks. Specifically, a novel way to extract grain topology in particulate materials via level sets is introduced. It is shown that the proposed method can sharply resolve the topology of grain surfaces near to and far from grain-to-grain contact regions with sub-voxel resolution, and is capable of grain extraction directly in three dimensions. The proposed method still relies on traditional techniques for input, but ultimately leads to much improved grain characterization. We validate the approach using three dimensional CT images of highly rounded (Caicos ooid) and highly angular (Hostun sand) natural materials, with excellent results.
Starting Page	9
Ending Page	21
Page Count	13
File Format	PDF
ISSN	14345021
Journal	Granular Matter
Volume Number	16
Issue Number	1
e-ISSN	14347636
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-12-07
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Computed tomography Level set Granular Discrete Characterization Images Soft and Granular Matter, Complex Fluids and Microfluidics Engineering Fluid Dynamics Materials Science Geoengineering, Foundations, Hydraulics Industrial Chemistry/Chemical Engineering Engineering Thermodynamics, Heat and Mass Transfer
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy Mechanics of Materials Materials Science

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