CORRELATION OF SLAKE DURABILITY INDEX WITH UNCONFINED COMPRESSIVE STRENGTH ESTIMATED THROUGH INDIRECT METHODS FOR CARBONATE ROCKS OF SALT RANGE, PAKISTAN
Abstract
In evaluation of engineering behavior of rock mass and rock materials, slaking of rocks is an important consideration. For the construction industry, a durable rock is usually preferred. About 75% of the rocks outcropping on continents are sedimentary rocks. To determine rock strength and deformation, direct tests such as uniaxial compressive strength are expensive and require considerable time. Hence there is need to explore relations through other indirect methods such as Slake Durability Index, Point Load Strength and Schmidt rebound hammer test. To investigate the correlation between Slake Durability and strength, multidisciplinary approach was adopted. For this study, one of the important industrial rock groups belonging to carbonate geology of Salt Range was selected. The Slake Durability Index test was performed on 32 rock samples collected from different parts of Salt Range and the test results were compared with indirect strength such as Point Load Strength and Schmidt Hammer Hardness. Data was statistically analyzed through linear regression analysis to determine the correlation coefficient and the variability of results for each test. A strong linear correlation of 1st cycle Slake Durability Index exists with Point Load Strength and Schmidt Hammer Hardness.References
S. Yagiz, E.A. Sezer and C. Gokceoglu,
International Journal for Numerical and Analytical
Methods in Geomechanics 36 (2012) 1636.
M. Nickmann, G. Spaun and K. Thuro, The
Geological Society of London 492 (2006)1-9.
G. Dhakal, T. Yoneda, M. Kato and K. Kaneko,
Elsevier, Engineering Geology 65 (2002) 31.
G.R. Lashkaripour and M. Ghafoori, Proceedings
of 9th congress of the international association for
Correlation of slake durability index with unconfined compressive strength 213
R. Ulusay, C. Gokceoglu and H. Sonmez,
Elsevier, Science Direct, Engineering Geology 57
(2000) 215.
P. M. Santi, Environmental and Engineering
Geosciences 4 (1998) 385.
M.Khalily, G. R. Lashkaripour, M. Ghafoori, M.
Khanehbad and P. Dehghan, International Journal
of Emerging Technology and Advanced
Engineering 3 (2013) 50.
C. Walsri, T. Sriapai, D. Phueakphum and K.
Fuenkajom, Songklanakarin Journal of Science
and Technology 34 (2012) 587.
S. Rintrawilai, Suranaree University of
Technology, Thailand, Master’s Thesis (2010).
Overfield and L. Bethany, University of
Kentucky, Master’s Thesis 127 (2011)
P.K. Sharma, M. Khandelwal and T. N. Singh,
International Journal of Earth Sciences 100 (2010)
E. Kolay and K. Kayabali, Elsevier, Engineering
Geology 86 (2006) 271.
C.E. Koncagul, and P.M. Santi, International
Journal of Rock Mechanic and Mining Science 36
(1999) 139.
J.A. Franklin and R. Chandra, International
Journal of Rock Mechanic and Mining Science 9
(1972) 325.
ASTM D5713, Annual Book of ASTM Standards
09 (2002).
ASTM D5873, Annual Book of ASTM Standards
02 (2000).
Google Earth, Map of study area.
www.earth.google.com (2014).
Microsoft Excel, Regression analysis.
www.office.microsoft.com/en-us/excel (2007).