Statistical Assessment of Different Aggregate Shape Factors

Abstract

This study aims to investigate aggregate geometric characteristics and analyze the possible aggregate shape factors on their statistical relationships. The study used 2192 crushed rock particles from 5 to 30 mm in diameter for the investigation. The particles were milled in a ball mill at 0, 1000 and 2000 revolutions to obtain different morphological aspects. The milled aggregate was taken and digital image processing techniques were used to obtain images and data of the aggregate which represent the 14 different shape aspects. The obtained data were statistically analyzed using data analysis tools and represented the statistical relationships. These statistical classifications can be useful for researchers to optimize the performance of aggregate mixtures in different morphological shape aspects.