Browsing by Author "Fener M."
Now showing items 1-8 of 8
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Authors' reply to the discussion by A. Karakus on the paper "Predicting the sawability of carbonate rocks using multiple curvilinear regression analysis"
Kahraman S.; Fener M.; Gunaydin O. (Elsevier BV, 2006)[No abstract available] -
The effect of water saturation on the strength of marbles
Kahraman S.; Gunaydin O.; Fener M. (International Society for Rock Mechanics, 2008)Uniaxial compressive strength (UCS), Brazilian tensile strength (BTS) and point load strength (Is) of rocks are commonly used for the rock engineering applications. These important rock properties are strongly influenced ... -
Performance prediction of circular diamond saws from mechanical rock properties in cutting carbonate rocks
Fener M.; Kahraman S.; Ozder M.O. (2007)Possibility of estimating the sawability of carbonate rocks from some mechanical rock property was evaluated using simple and multiple regression analysis. Hourly Production of circular saws was firstly correlated with ... -
Predicting the sawability of carbonate rocks using multiple curvilinear regression analysis
Kahraman S.; Fener M.; Gunaydin O. (2004)Performance measurements of large-diameter circular saws were conducted on 13 different carbonate rocks in marble factories located in Turkey. Rock samples were collected from the factories for laboratory tests. Cohesion, ... -
Predicting the Schmidt hammer values of in-situ intact rock from core sample values
Kahraman S.; Fener M.; Gunaydin O. (2002)[No abstract available] -
Predicting the UCS of pyroclastic rocks from the slake durability index
Kahraman S.; Fener M.; Gunaydin O. (2010)The prediction of the uniaxial compressive strength (UCS) from indirect methods is widely used for the preliminary investigations. In this study, the possibility of predicting the UCS from the slake durability index (SDI) ... -
Sawability prediction of carbonate rocks from brittleness indexes
Gunaydin O.; Kahraman S.; Fener M. (2004)Performance measurements of large-diameter circular saws were conducted on eight different carbonate rocks in marble factories located in some areas of Turkey. Rock samples were collected from these factories for laboratory ... -
Sawability prediction of carbonate rocks from shear strength parameters using artificial neural networks
Kahraman S.; Altun H.; Tezekici B.S.; Fener M. (2006)[No abstract available]
