Atici U.Comakli R.2019-08-012019-08-0120192225-6253https://dx.doi.org/10.17159/2411-9717/2019/v119n1a8https://hdl.handle.net/11480/1533Understanding rock properties is of vital importance in mining and civil engineering. Rock properties are generally determined through laboratory tests, which require a large number of uniformly shaped samples and technicians who use indirect methods to determine rock properties. The texture coefficient (TC), which represents various textural parameters including the size, shape, orientation, and relative proportions of grains and the matrix, is an efficient means for indirectly evaluating the mechanical behaviour of rocks. In this study, 12 different rocks (ten granites, one diorite, and one gabbro) were collected and their engineering properties. including specific gravity, porosity, P-and S-wave velocities, Schmidt rebound hardness, uniaxial compressive strength, and elasticity modulus, were investigated. Relationships between TC and these measured properties were assessed. Statistically significant (at the 95% confidence level) correlations were found between the TC and compressive strength, elasticity modulus, sound velocity (both compression and shear waves for dry and saturated samples), but no significant correlation was found with Schmidt rebound hardness. The results suggest that it is possible to use the relationships between TC and the mechanical properties of rocks in rock classification. © The Southern African Institute of Mining and Metallurgy.eninfo:eu-repo/semantics/openAccessGranitic rocksLinear regressionRock mechanics.Texture coefficientArticle1191636910.17159/2411-9717/2019/v119n1a82-s2.0-85062916282Q3WOS:000457742400008Q4