Abstract

Numerical modeling of the fabric of naturally deposited sands depends on being able to accurately reconstruct individual grains in a reasonable amount of time. To this end, X-Ray Computed Tomography (XRCT) is an excellent tool. However, while the currently available processing workflows, e.g. (Stamati, O., et al, 2020), have been successfully used to obtaining the shapes of clean, pluviated sands, the image reconstruction is a lot more challenging in resolving the individual grains and fabric of naturally deposited fine sands, such as shown in Figure 1. The focus of this study has been to develop a more robust that can rapidly reconstruct the grain avatars in sufficient detail.