Cuttability Assessment of Selected Rocks Through Different Brittleness Values

被引:0
作者
Arif Emre Dursun
M. Kemal Gokay
机构
[1] Selçuk University,Occupational Safety and Health Department, Technical Science College
[2] Selçuk University,Mining Engineering Department
来源
Rock Mechanics and Rock Engineering | 2016年 / 49卷
关键词
Brittleness; Rock cuttability; Specific energy; Small-scale rock cutting tests; SPSS; Regression analysis;
D O I
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中图分类号
学科分类号
摘要
Prediction of cuttability is a critical issue for successful execution of tunnel or mining excavation projects. Rock cuttability is also used to determine specific energy, which is defined as the work done by the cutting force to excavate a unit volume of yield. Specific energy is a meaningful inverse measure of cutting efficiency, since it simply states how much energy must be expended to excavate a unit volume of rock. Brittleness is a fundamental rock property and applied in drilling and rock excavation. Brittleness is one of the most crucial rock features for rock excavation. For this reason, determination of relations between cuttability and brittleness will help rock engineers. This study aims to estimate the specific energy from different brittleness values of rocks by means of simple and multiple regression analyses. In this study, rock cutting, rock property, and brittleness index tests were carried out on 24 different rock samples with different strength values, including marble, travertine, and tuff, collected from sites around Konya Province, Turkey. Four previously used brittleness concepts were evaluated in this study, denoted as B1 (ratio of compressive to tensile strength), B2 (ratio of the difference between compressive and tensile strength to the sum of compressive and tensile strength), B3 (area under the stress–strain line in relation to compressive and tensile strength), and B9 = S20, the percentage of fines (<11.2 mm) formed in an impact test for the Norwegian University of Science and Technology (NTNU) model as well as B9p (B9 as predicted from uniaxial compressive, Brazilian tensile, and point load strengths of rocks using multiple regression analysis). The results suggest that the proposed simple regression-based prediction models including B3, B9, and B9p outperform the other models including B1 and B2 and can be used for more accurate and reliable estimation of specific energy.
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页码:1173 / 1190
页数:17
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