1. IntroductionToday, as a result of the increase in the number oflargetunnelconstructionsandundergroundexcavationsrequired for civil engineering and waste disposal, andtheoperationofdeepopenpitmines,determinationofrock mass properties has become one of the mostimportant stages in design and construction for rockengineering.Whenrocksandrockmassesareclassifiedforgeotechnicalpurposes,thisneedstobeonthebasisofstrengthorstaticmodulusofdeformationtogiveanindication of their stability or deformational response.In addition, the strength and modulus of deformationarethenecessaryinputparametersoftherockmassestobeutilizedbynumericalmethods.The modulus of elasticity of the rock material isundoubtly the geomechanical parameter that bestrepresents the mechanical behaviour of rock material.Asimilarconclusioncanalsobemadeforrockmasses.However, the modulus of deformation of rock massesshould be determined in situ by carrying out specialtests, which normally implies considerable costs andoperationaldifficulties.Becauseofsuchdifficulties,thedetermination of the modulus of deformation of therock masses continues to attract the attention of rockengineersandengineeringgeologists.Given the importance of having the value of themodulusofdeformationavailableand,atthesametime,the operational and economical difficulties mentionedabove,manyresearchers,mentionedbelow,wereledtoconsider several cost-effective and not too time-con-suming indirect procedures that can provide informa-tion on the modulus of deformation. These attemptswerebasedonempiricalmodels,mainlyinconjunctionwith the rock mass classification systems. The firstempirical equation for prediction of the deformationmodulusofrockmasseswasproposedbyBieniawski[1]and was followed by other empirical models, such asthosesuggestedbyBartonetal.[2],SerafimandPereira[3],NicholsonandBieniawski[4],Mitrietal.[5],HoekandBrown[6],PalmstromandSingh[7],Barton[8]andKayabasietal.[9].The predictive models proposed by Bieniawski [1],Serafim and Pereira [3] and Mitri et al. [5] utilize theRMR of Bieniawski [10], while Barton’sestimate [8] isbased on Q-values. Although the prediction model byNicholson and Bieniawski [4] employs RMR values, italsoconsidersareductionfactor.TheequationofHoekand Brown [6] is a modified form of Serafim andPereira’sequation[3]andbasedontheGSISystem.TheequationbyPalmstromandSingh[7]employsRMi[11]valuesforpredictionofdeformationmodulus.Kayabasiet al.’s [9] equation considers the elasticity modulus ofintact rock, RQD and degree of weathering andcomparesthepredictedvalueswithinsitudeformationtestresults.Recently,twostudiesforthesamepurposewereconductedbyGokceogluetal.[12]andCaietal.[13]. The study by Gokceoglu et al. [12] aimed atchecking the prediction performance of the existingempirical equations and providing some contributionsthe work of Kayabasi et al. [9] for the estimation ofdeformation modulus of weak rock masses. Theseinvestigators suggested a prediction equation consider-ingthemodulusratioofrockmaterialðE
[1]
Z. Bieniawski,et al.
A nonlinear deformation modulus based on rock mass classification
,
1990
.
[2]
Arild Palmström,et al.
The deformation modulus of rock masses — comparisons between in situ tests and indirect estimates
,
2001
.
[3]
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
.
[4]
Evert Hoek,et al.
Practical estimates of rock mass strength
,
1997
.
[5]
J. Lunde,et al.
APPLICATION OF Q-SYSTEM IN DESIGN DECISIONS CONCERNING DIMENSIONS AND APPROPRIATE SUPPORT FOR UNDERGROUND INSTALLATIONS
,
1980
.
[6]
Lianyang Zhang,et al.
Estimating the Deformation Modulus of Rock Masses
,
2000
.
[7]
Z. Bieniawski,et al.
Rock Mass Classification For Block Caving Mine Drift Support
,
1983
.
[8]
D. H. Laubscher.
A geomechanics classification system for the rating of rock mass in mine design
,
1990
.
[9]
Nick Barton,et al.
Some new Q-value correlations to assist in site characterisation and tunnel design
,
2002
.
[10]
Arild Palmström,et al.
Characterizing rock masses by the RMi for use in practical rock engineering: Part 1: The development of the Rock Mass index (RMi)
,
1996
.
[11]
Evert Hoek,et al.
HOEK-BROWN FAILURE CRITERION - 2002 EDITION
,
2002
.
[12]
C. Gokceoğlu,et al.
Estimating the deformation modulus of rock masses: a comparative study
,
2003
.
[13]
C. Gokceoğlu,et al.
Predicting the deformation moduli of rock masses
,
2003
.
[14]
Z. Bieniawski.
Engineering rock mass classifications
,
1989
.
[15]
Z. Bieniawski.
Determining rock mass deformability: experience from case histories
,
1978
.
[16]
Candan Gokceoglu,et al.
An application of fuzzy sets to the Geological Strength Index (GSI) system used in rock engineering
,
2003
.
[17]
Resat Ulusay,et al.
Modifications to the geological strength index (GSI) and their applicability to stability of slopes
,
1999
.
[18]
P. K. Kaiser,et al.
Estimation of rock mass deformation modulus and strength of jointed hard rock masses using the GSI system
,
2004
.