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


Autoria(s): Tiryaki, B.; Dikmen, A.C.
Contribuinte(s)

G. Barla

H. H. Einstein

K. Kovari

Data(s)

01/04/2005

Resumo

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 R2 values. Poisson's ratio exhibited the highest correlation with SE and seemed to be the most reliable SE prediction tool in sandstones.

Identificador

http://espace.library.uq.edu.au/view/UQ:76980

Idioma(s)

eng

Publicador

Springer

Palavras-Chave #Bivariate correlation #Linear regression #Linear rock cutting #Picks #Rock properties #Specific cutting energy #Texture coefficient #290704 Geomechanics #640200 Primary Mining and Extraction Processes
Tipo

Journal Article