Effects of rock properties on specific cutting energy in linear cutting of sandstones by picks

被引:116
|
作者
Tiryaki, B [1 ]
Dikmen, AC
机构
[1] Univ Queensland, Dept Mech Engn, Brisbane, Qld 4072, Australia
[2] Minist Environm & Forestry, Ankara, Turkey
关键词
specific cutting energy; linear rock cutting; picks; texture coefficient; rock properties; bivariate correlation; linear regression;
D O I
10.1007/s00603-005-0062-7
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Specific cutting energy (SE) has been widely used to assess the rock cuttability for mechanical excavation purposes. Some prediction models were developed for SE through correlating rock properties with SE values. However, some of the textural and compositional rock parameters i.e. texture coefficient and feldspar, mafic, and felsic mineral contents were not considered. The present study is to investigate the effects of previously ignored rock parameters along with engineering rock properties on SE. Mineralogical and petrographic analyses, rock mechanics, and linear rock cutting tests were performed on sandstone samples taken from sites around Ankara, Turkey. Relationships between SE and rock properties were evaluated using bivariate correlation and linear regression analyses. The tests and subsequent analyses revealed that the texture coefficient and feldspar content of sandstones affected rock cuttability, evidenced by significant correlations between these parameters and SE at a 90% confidence level. Felsic and mafic mineral contents of sandstones did not exhibit any statistically significant correlation against SE. Cementation coefficient, effective porosity, and pore volume had good correlations against SE. Poisson's ratio, Brazilian tensile strength, Shore scleroscope hardness, Schmidt hammer hardness, dry density, and point load strength index showed very strong linear correlations against SE at confidence levels of 95% and above, all of which were also found suitable to be used in predicting SE individually, depending on the results of regression analysis, ANOVA, Student's t-tests, and R-2 values. Poisson's ratio exhibited the highest correlation with SE and seemed to be the most reliable SE prediction tool in sandstones.
引用
收藏
页码:89 / 120
页数:32
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