A new general empirical approach for the prediction of rock mass strengths of soft to hard rock masses

Abstract It is almost impossible to prepare representative cores of rock masses including discontinuities patterns for laboratory studies. To overcome these difficulties, researchers have focused on developing empirical equations for estimating of the stress–strain behavior of a rock mass, including measurements of the discontinuity patterns. As can be seen in the literature, the uniaxial compressive strength value of rock mass ( UCS RM ) can be estimated by reducing the uniaxial compressive strength of intact rock material ( UCS i ) based on the quality of a rock mass, represented by variables such as Rock Mass Rating ( RMR ), Geological Strength Index ( GSI ) and Q value. For this reason, a unique reducing curve form empirical equation has limited application and generally, cannot be applied to all kind of rock masses from particularly soft to hard rock masses. In this study, a new general empirical approach is constructed to estimate the strength of rock masses of varying hardness. The new empirical equations have been calibrated using data from five slope failures and four sets of uniaxial compressive strength data of rock masses. In the new empirical equations, the UCS i is considered not only to be a scale parameter used in the strength reduction but also used to adjust the degree of strength reduction in conjunction with elastic modulus of the rock material ( E i ). The disturbance factor on the rock mass is taken into consideration by two separate reduction factors applied to the Structure Rating ( SR ) to capture increasing joint density, and to the s and m b parameters of the Hoek–Brown criterion, to decrease the degree of interlocking. Hence, non-interlocked (cohesionless under zero normal stress) rock masses such as spoil piles can also be modeled in the new empirical approach.

[1]  A. Palmstrøm The volumetric joint count as a measure of rock mass jointing , 1986 .

[2]  B. Ladanyi,et al.  Simulation Of Shear Behavior Of A Jointed Rock Mass , 1969 .

[3]  R. Thorpe STRENGTH AND PERMEABILITY TESTS ON ULTRA-LARGE STRIPA GRANITE CORE , 2009 .

[4]  E. T. Brown Estimating the Mechanical Properties of Rock Masses , 2008 .

[5]  Nick Barton,et al.  Some new Q-value correlations to assist in site characterisation and tunnel design , 2002 .

[6]  E. Hoek,et al.  Empirical estimation of rock mass modulus , 2006 .

[7]  Arild Palmström,et al.  Measurements of and correlations between block size and rock quality designation (RQD) , 2005 .

[8]  S Harun,et al.  A discussion on the Hoek-Brown failure criterion and suggested modifications to the criterion verified by slope stability case studies , 2002 .

[9]  John A. Hudson,et al.  Comprehensive rock engineering , 1993 .

[10]  Manuel R. Romana,et al.  A Geomechanical Classification for Slopes: Slope Mass Rating , 1993 .

[11]  Candan Gokceoglu,et al.  A practical procedure for the back analysis of slope failures in closely jointed rock masses , 1998 .

[12]  I. Herle,et al.  Shear resistance of fissured Neogene clays , 1995 .

[13]  R. K. Goel,et al.  Correlation between Barton's Q and Bieniawski's RMR—A new approach , 1996 .

[14]  Allman Introductory Lecture , 1855, Edinburgh medical journal.

[15]  P. R. Sheorey Empirical Rock Failure Criteria , 1997 .

[16]  D. H. Laubscher A geomechanics classification system for the rating of rock mass in mine design , 1990 .

[17]  Diederichs,et al.  Application of modified Hoek-Brown transition relationships for assessing strength and post yield behaviour at both ends of the rock competence scale , 2008 .

[18]  Resat Ulusay,et al.  Design evaluations for spoil piles at a strip coal mine considering safety ofthehaulraod , 1995 .

[19]  Erling Nordlund,et al.  A quantitative comparison of strength criteria for hard rock masses , 2007 .

[20]  K. Y. Lo The Operational Strength of Fissured Clays , 1970 .

[21]  Candan Gokceoglu,et al.  Estimation of rock modulus: For intact rocks with an artificial neural network and for rock masses with a new empirical equation , 2006 .

[22]  Evert Hoek,et al.  HOEK-BROWN FAILURE CRITERION - 2002 EDITION , 2002 .

[23]  Diederichs,et al.  A Modified Approach For Prediction of Strength And Post Yield Behaviour For High GSI Rockmasses In Strong, Brittle Ground , 2007 .

[24]  Diederichs,et al.  An Approach For Prediction of Strength And Post Yield Behaviour For Rock Masses of Low Intact Strength , 2007 .

[25]  Resat Ulusay,et al.  Modifications to the geological strength index (GSI) and their applicability to stability of slopes , 1999 .

[26]  V. Silvestri The long-term stability of a cutting slope in an overconsolidated sensitive clay , 1980 .

[27]  Candan Gokceoglu,et al.  Discussion of the paper by E. Hoek and M.S. Diederichs “Empirical estimation of rock mass modulus” , 2006 .

[28]  Evert Hoek,et al.  Practical estimates of rock mass strength , 1997 .

[29]  E. T. Brown,et al.  Underground excavations in rock , 1980 .

[30]  D. Deere,et al.  Engineering classification and index properties for intact rock , 1966 .

[31]  C. F. Lee,et al.  An Evaluation of the Stability of Natural Slopes in Plastic Champlain Clays , 1974 .

[32]  Yudhbir,et al.  An Empirical Failure Criterion For Rock Masses , 1983 .