![]() ![]() For this purpose, 28 carbonate rock samples which have middle to low strength were studied in different locations in Iran. This research presents a study on the TC of carbonate rocks and the main methods to determine and classify engineering properties. Also, rock micro-fabric was quantified from the texture coefficient (TC) method which could be used to put a value on rock micro-fabrics with the textural parameters. In this study, the relationships between engineering properties and rock texture have been investigated on carbonate rocks. Engineering properties of sedimentary rocks are mainly influenced by grain shape, elongation, orientation, circularity, packing density, porosity, and matrix content, and all of these parameters are controlled by rock texture or micro-fabric. Also, the results indicate a strong negative correlation between LAA loss and TC, and can be used to predict LAA loss in practical applications.Ībstract: Micro-fabric features are the main factor in determining the engineering properties of rocks. The results indicate that many textural parameters, together with TC, can be interpreted as rock texture which influences the LAA loss. Although the results show that weak relationships exist between textural parameters and LAA loss, a strong relationship exists between TC and LAA loss. In addition, the effects of textural parameters including area weighting of grains or packing density, grain shape, grain elongation, circularity, and orientation of mineral grains, and also TC on the LAA loss were evaluated. The texture of rock aggregate was quantified by texture coefficient (TC), which can be used to put a value on rock texture with studies carried out on the rock thin section using image analysis. Regression analyses were used to determine whether rock texture was a useful predictor of LAA loss. In this study, the relationship between rock texture and LAA loss was investigated for 26 sources of carbonate aggregates found in Iran which constitute the most commonly quarried crushed rock. The quality of rock aggregates for a given usage is determined by many different test methods, one of the most important of which is the Los Angeles abrasion (LAA) test as it is used to evaluate the resistance to abrasion and wear of aggregates for such applications as railroad ballast, base course material, and asphalt and concrete aggregates. Finally, the best equations with specific arrangement were suggested to estimate engineering properties of the Qom formation conglomerates.Ībstract: Rock aggregates are the most fundamental material of highway, railroad, and other construction activities. Furthermore, multivariate linear regression was used in four different steps comprising various combinations of petrographical characteristics for each engineering parameters. In this study, predictive statistical relationships were developed to estimate the physical and mechanical properties of the rocks based on the results of petrographic features. It also was concluded that the packing proximity, packing density, grain shape and mean grain size, cement and matrix frequency are as textural features that have a significant effect on the physical and mechanical properties of the studied conglomerates. The results show that the effect of textural characteristics on the engineering properties of conglomerates supposed to be more important than mineralogical composition. For determining petrographic features, textural and mineralogical parameters, thin sections of the samples were prepared and studied. Samples were tested in laboratory to determine the uniaxial compressive strength, point load strength index, modulus of elasticity, porosity, dry and saturation densities. Abstract: To assess relationship between engineering characteristics and petrographic features, conglomerates samples related to Qom formation from Famenin region in northeast of Hamedan province were studied. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |