Influences of petrographic and textural properties on the strength of very strong granitic rocks

Predicting the Engineering Properties of Rocks from Textural Characteristics Using Some Soft Computing Approaches

“…γ dry , n, and TC are good parameters to predict the engineering characteristics of the studied rocks based on the regression coefficients of multiple regression analysis. This result is similar to the results of Singh et al [85], Alber and Kahraman [65], Manouchehrian et al [42], Ersoy and Acar [66], and Akram et al [68].…”

“…A higher R value for the ANN models means that there is a better relationship between experimental and calculated values in comparison to the MRA model. This result is confirmed by the research of Alber and Kahraman [65], Manouchehrian et al [42], and Ersoy and Acar [66].…”

“…A higher R value for ANN models means that there is a better relationship between experimental and cal lated values in comparison to the MRA model. This result is confirmed by the research Alber and Kahraman [65], Manouchehrian et al [42], and Ersoy and Acar [66]. The experimental and calculated values of Id 2 , SRH, UPV, and UCS have been plotted in diagrams of Figure 15 to compare the results of MRA and ANN for predicting the engineering characteristics of the studied rocks.…”

“…Manouchehrian et al [42] applied artificial neural networks and multivariate regression for assessing the uniaxial compressive strength based on textural characteristics of rocks. Ersoy and Acar [66] studied the petrographic and textural properties' influences on the strength of granites and found that the size of mineral has a higher effect than mineral type on rock strength. Aligholi et al [67] evaluated relationships between drillability indices on one hand and index properties and petrographic data on the other hand of hard igneous rocks.…”

Generic compressive strength prediction model applicable to multiple lithologies based on a broad global database

“…x x x Basu and Kamran [11] x x Basu et al [12] x x x x x Bieniawski [14] x x Bilgin et al [15] x x x x Bell and Lindsay [13] x x x x x x Briševac et al [16] x x x x x x Bruno et al [17] x x Cargill and Shakoor [18] x x x x x Çelik [19] x x x x x Ceryan et al (2012) x x x x Cheshomi et al [21] x x x Çobanoğlu and Çelik [22] x x x x Dehghan et al [23] x x x x x Demirdag et al [24] x x x Diamantis et al [25] x x x x x Dinçer et al [26] x x x x Dinçer et al [27] x x x x x x x Ersoy and Acar [28] x x x Fakir et al [29] x x x x x x x Fener et al [30] x x x Ferentinou and Fakir [31] x x x x Ghasemi et al [32] x x x x x x Gomez-Heras et al [33] x x x x Gonz'lez et al [34] x x x x Guney and Altindag [35] x x x x Hebib et al [36] x x x x Heidari et al [37] x x x Heidari et al [95] x x Heidari et al [38] x x x x x Ince and Fener [39] x x x x x x İnce et al [40] x x x x Jamshidi et al [41] x x x Jalali et al (2017) x x x x x Kahraman and Gunaydin [42] x x Kahraman [43] x x x x Kahraman [45] x x x x Kahraman et al [44] x x x x x x x Kahraman et al [46] x x x x Kahraman et al [47] x x x x Kainthola et al [48] x x x Kamani and Ajalloeian [49] x x Karakus …”