Correlation between Uniaxial Compressive Strength and Point Load Index for Salt-Range Rocks


  • M. Akram
  • M. Z. A. Bakar


Nine rock types including Sandstone, Limestone, Siltstone, Dolomite and Marl collected from six different rock formations of the Salt Range area of Pakistan were tested to evaluate the correlations between the uniaxial compressive strength and the corresponding values of the point load index. Two hundred rock cores were drilled and used for the uniaxial compressive strength and point load index tests. Results indicate the existence of two rock groups showing distinct behaviour in the context of this correlation. The first group of rocks, Group A, consists of hard Jutana Sandstone, Baghanwala Sandstone, Siltstone, Sakessar Massive Limestone, Khewra Sandstone and Dolomite. The second group of rocks, Group B, consists of relatively soft Dandot Sandstone, Sakessar Nodular Limestone and Marl. The correlation equations for predicting compressive strength using point load index for each group are presented along with their confidence limits to show the variability of results produced from each equation.


APHA, 1971, Standard Methods for the Examination of Water and Wastewater, 13th Edition, American Public Health Association, Washington, DC20005- 2605.

APHA, 1998, Standard Methods for the Examination of Water and Wastewater, 20th Edition, American Public Health Association, Washington, DC20005- 2605.

Bhargava D. S. 2008, Dissolved Oxygen Sag Analysis for a Settling Fields Overlapping Type Multiwastewater-outfall, Environmentalist, Springer Science-Business Media, 28: 128 – 136.

Canale R.P., Ownes E.M & Auer M.T., 1995, Validation of Water Quality Model for Seneca River, N.Y., Journal of Water Resources Planning and Management, Vol 121, No.3.

Chapra S. C., 1997, Surface Water - Quality Modeling, McGraw – Hill International Editions, Civil Engineering Series, Singapore, 357.

Ha S. & Bae M., 2001, Effect of Land use and Municipal Wastewater Treatment Changes on Stream Water Quality, Water, Air and Soil Pollution, 70: 135- 151.

IPD, Irrigation & Power Department Punjab, 1967- 2004,”Gauge and Discharge Data of River and Canals, Hydrology Directorate Lahore, Pakistan

Jha R. Ojha C.S.P. and Bhatia K.K.S, 2005, Water Quality and Flow Simulation in River Kali, India, IE(I) Journal-EN.

Lung, W. S., 1998, Trends in BOD/ DO modeling for wasteload allocations, Journal of Environmental Engineering, ASCE, 124 (10), 1004 – 1007.

Maldeniv N., Strzepek K. & Serumola O.M., 2005, Water Quality Assessment and Modeling of an Effluent Dominating Stream, the Notwane River, Botswana, Environmental Monitoring and Assessment, 109: 97-121

Murty Y.S.R, Bhallamudi M. and Srinivasan K., 2006, Non-uniform Flow Effect on Optimal Waste Load Allocation in Rivers, Water Resource Management, Springer, 20:509-530.

Radwan M, Williams P. El-sadek A. and Berlamont J., 2003, Modelling of Dissolved Oxygen and Biochemical Oxygen Demand in River Water using Detailed and a Simpified Model, Int J. River Basin Managaement, IAHR, Vol 2: pp97-103.

Singh A.P., Ghosh S.K. & Sharma P., 2007, Water Quality management of a stretch of river Yamuna: An Interactive Fuzzy Multi-objective Approach, Water Resource Management, Springer, 21:515-532.

Thomann R. V. and Mueller J. A., 1987, Principles of Surface Water Quality Modeling and Control, Harper International Edition, New York.

Thomas, H. A., 1950, “Graphical Determination of BOD Curves Constants”, Water and Sewerage Works, Vol 97.

WASA (Waster and Sanitation Agency), 2001, “Integrated Master Plan for Lahore – 2021, Final Report, Volume -1, Existing Scenario, Prepared by NESPAK, Lahore

WWF (World Wildlife Federation), 2007, “Hudiara Drain Pollution Control”, Pre-feasibility Study, Cleaner Production Institute, Lahore.






Polymer Engineering and Chemical Engineering, Materials Engineering, Physics, Chemistry, Mathematics