Empirical Estimation of Uniaxial Compressive Strength of Rock: Database of Simple, Multiple, and Artificial Intelligence-Based Regressions

Abstract Empirical relationships for estimating Uniaxial Compressive Strength (UCS) of rock from other properties are numerous in literature. This is because the laboratory procedure determination UCS compression tests cumbersome, time consuming, and often considered expensive, especially small to medium-sized mining engineering projects. However, these empirical models scattered literature, making it difficult access a considerable number them when there need select model estimation UCS. leads bias estimated data as may be underestimation or overestimation UCS, site-specific nature properties. Therefore, this study develops large database between that reported literatures. Statistical analysis was performed on regression equations developed. The typical ranges mean used developing regressions, range their R 2 values were evaluated summarised. Most found developed reasonable quantity with moderate high values. can easily assessed appropriate equation estimate specific site.