Abstract
Strength and durability are the most important and critical parameter of rock and these two are the key point to evaluate the rock for different purposes. Several classifications have been given for rock on the basis of their strength and durability and are used world-wide. Strength indices such as point load index, impact strength index, aggregate impact value, aggregate crushing value and durability indices such as slake durability index, aggregate abrasion value are the furthermost parameters being evaluated and applied for engineering structures, building stones and construction aggregates. Present study shows the correlation between these important parameters of the rock and tries to propose an empirical equation so that one property can be determine from the others by applying this empirical equation. To estimate the good correlation between the properties of rocks, different categories of igneous, metamorphic and sedimentary rocks were used. Imperial equations and prediction models were determined using regression analysis and neural networking, respectively. Finally, using the proposed equation, obtained values were classified along with the different classifications for rock strength and durability.
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