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Ucs-of-granite, different indices were used to predict ucs of granite, schist and sandstone. • point load strength proved to be the best index in this regard. • multiple regression and fuzzy inference system analyses were also employed. • fuzzy inference system appeared to be the most efficient technique in predicting ucs.. The values of ucs can be correlated with the corresponding bulk density of the rock. in this study a total of 73 samples consisted of 29 granite and 44 limestone were used for ucs and bulk density test. the significant of the bulk density as variable in the correlation was evaluated in the t-test responding by p-value., mishra and basu in a comparative study estimated ucs of granite, schist and sandstone using regression analyses and fuzzy inference system. they found that both multiple regression analyses and the....

Granite is a type of common industrial natural stone. the graph bars on the material properties cards below compare granite to other natural stone materials (top) and the entire database (bottom)., reference is-9143-1979-method for the determination of unconfined compressive strength of rock materials objective the objective of this test is to determine unconfined compressive strength of rock. this test is primarily done to classify the rock on the basis of strength. apparatus used name of equipment capacity least count/accuracy loading machine 5000 kn 2.5 n vernier […].

Some useful numbers on the engineering properties of materials (geologic and otherwise) geol 615 coefficient of sliding friction ( ) for most rocks, varies between 0.8 and 0.5.