Abstract
Quarry fines are secondary materials that can be reused for road construction, commonly after improving their properties through stabilising. To better understand and characterise these recycled materials, we created an image-based, two-dimensional representation of the particles that compose the material. This computational representation enables (1) the quantification of the (area-based) gradation from images, (2) a detailed particle-by-particle characterisation and (3) potentially, random rearrangement of the particles into reconstructed specimens for further computational analyses. The images of cement-stabilised quarry fines were obtained using a scanning electron microscope. The particles were isolated and characterised using image processes and a computational approach (MATLAB code). The techniques and code presented herein can be applied as well to other granular-based materials. The MATLAB code and associated files are available as an open resource in GitHub (https://github.com/danielcastillo-beta/particle-analysis).
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