Morphological characterization of grain-scale sphericity using 2D x-ray microtomography images

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Publication Title
Morphological characterization of grain-scale sphericity using 2D x-ray microtomography images

Abstract
Geotechnical engineering has traditionally used laboratory or in situ testing to determine soil properties. With the advancement of computational techniques and data processing performances, new possibilities have been investigated. In the context of morphological and geometric characterization on a grain scale, X-ray computed tomography (µCT) has served as an input for determining these parameters. The challenge still lies in standardizing the analysis methodologies into an appropriate and applicable approach for larger groups of granular materials. In this context, this article aims to propose a new algorithm implemented in Python to determine the overall sphericity classification of soil samples through a computational tool that analyses high-resolution particle-scale images from microtomography tests. The focus of this research is on performing the morphological analysis of the sphericity of particles using 2D images. The code was implemented in an open-source programming language and its applicability has been shown for an uncontaminated sand sample, based on experimental results. This method allows for more accurate determination of soil parameters and has the potential to reduces operational costs related to some laboratory tests.
Authors
T. K. Moura; Luan Carlos de Sena Monteiro Ozelim; G. M. Alelvan; T. D. Rosa; Michele D. T. Casagrande

Published In

18th European Conference on Soil Mechanics and Geotechnical Engineering (ECSMGE2024)

Theme

A - New developments on structural design

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