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The objective of this research is to develop novel empirical equations to predict the extreme void ratios of sand-fly ash mixtures. These equations rely on multiple variables derived from the particle morphology properties of three different types of sandy materials. These sands are mixed with varying fractions of spherical fly ash particles, ranging from 0% to 30% fly ash content. High-quality microscope images of individual particles are used to determine the particle morphology properties. The analysis of the results confirms that combining these particle morphology properties (Acom, Scom, ARcom, Cxcom, and ORcom) provides suitable factors for predicting the extreme void ratios of the examined sand-fly ash mixtures. Furthermore, the study clearly demonstrates the significant influence of particle morphology on the packing density of the materials. The developed multi-variable functions can be systematically employed to predict the limit void ratios of sand-fly ash mixtures commonly encountered in various geotechnical engineering applications.

New empirical equations for limiting void ratios as function of particle morphology properties of sand-fly ash binary assemblies