Estimation of rock mass deformation modulus using variations in transmissivity and RQD with depth

Jiang, Xiao‐Wei; Wan, Li; Wang, Xu‐Sheng; Wu, Xiong; Zhang, Xin

doi:10.1016/j.ijrmms.2009.05.004

Cited by 31 publications

(22 citation statements)

References 28 publications

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“…Many researchers have established empirical models to estimate mechanical properties from the RQD (Zhang and Einstein 2004;Jiang et al 2009), rock mass rating (RMR) (Bieniawski 1978;Nicholson and Bieniawski 1990;Chun et al 2009;Hoek and Brown 1997), or Q methods (Barton et al 1974;Barton 1983Barton , 2002 and the cumulative core index (Sen 1990). Considering its worldwide acceptance and usage in major rock mass classifications such as Q and RMR, RQD is among the practical useful parameters, especially when the geological strength index (GSI) is concluded from the RMR.…”

Section: Introductionmentioning

confidence: 99%

A New Method for Improving the RQD Determination of Rock Core in Borehole

Azimian

2015

Rock Mech Rock Eng

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Section: Introductionmentioning

confidence: 99%

A New Method for Improving the RQD Determination of Rock Core in Borehole

Azimian

2015

Rock Mech Rock Eng

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“…Researchers and scientific societies utilize various methods for determining the deformation modulus such as direct measurement using in-situ tests, indirect estimations based on rock mass classification methods, laboratorial result generalization for rock mass, etc [1][2][3][4][5][6][7][8][9][10][11][12]. The results obtained by all these methods are not of the same reliability; furthermore, the direct measurement method by use of in-situ test is ranked as the most reliable [7]. However, laboratory tests on limited size rock samples containing discontinuities cannot measure reliably values of deformation modulus due to the limitation of size of the testing equipment [8].…”

Section: Introductionmentioning

confidence: 99%

Prediction of representative deformation modulus of longwall panel roof rock strata using Mamdani fuzzy system

Rezaei

Asadizadeh

Majdi

et al. 2015

International Journal of Mining Science and Technology

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a b s t r a c tDeformation modulus is the important parameter in stability analysis of tunnels, dams and mining structures. In this paper, two predictive models including Mamdani fuzzy system (MFS) and multivariable regression analysis (MVRA) were developed to predict deformation modulus based on data obtained from dilatometer tests carried out in Bakhtiary dam site and additional data collected from longwall coal mines. Models inputs were considered to be rock quality designation, overburden height, weathering, unconfined compressive strength, bedding inclination to core axis, joint roughness coefficient and fill thickness. To control the models performance, calculating indices such as root mean square error (RMSE), variance account for (VAF) and determination coefficient (R 2 ) were used. The MFS results show the significant prediction accuracy along with high performance compared to MVRA results. Finally, the sensitivity analysis of MFS results shows that the most and the least effective parameters on deformation modulus are weathering and overburden height, respectively.

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“…Most used are RQD (Jiang et al 2009), Q (Barton 2007), RMi (Palmstrom, Singh 2001), RMR (Chun et al 2009) and GSI (Russo 2009) classifications. The link between deformability and rock classification results may be established using field testing results or with the aid of numerical back-analysis based on the results of measuring the deformation of geotechnical structures carried constructed in rock masses.…”

Section: Introductionmentioning

confidence: 99%

Selection of a Field Testing Method for Karst Rock Mass Deformability by Multi Criteria Decision Analysis

Marčić

Cerić

Kovačević

2013

Journal of Civil Engineering and Management

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The rock mass deformation modulus is an essential parameter for any numerical analysis and prediction of deformation in geotechnical engineering. Experience acquired using a large number of geotechnical projects in Croatia and the world indicates a somewhat unreliable determination of rock mass deformability based on correlation of classification results. The method of field testing for deformability can provide a more reliable insight into rock mass behaviour under loading conditions. The paper presents the most frequently used methods for field testing rock deformability. The benefits and disadvantages are shown of each particular method used in determining criteria and forming a ranking list of test methods using the multi criteria decision analysis. This ranking list of terrain testing for the rock mass stiffness is acquired on the basis of set criteria, assumes guidelines for compiling an exploratory works plan necessary for designing complex geotechnical structures in karst. Appropriate analyses of the sensitivity to changes in the significance of particular criteria was carried out including its effect on selecting the field method for testing karst rock mass deformability. Keywords: karst, deformability, field testing method, multi criteria analysis, AHP. Reference to this paper should be made as follows: Marčić, D.; Cerić, A.; Kovačević, M. S. 2013. Selection of a field testing method for karst rock mass deformability by multi criteria decision analysis, Journal of Civil Engineering and Management 19(2): 196Á205.

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Estimation of rock mass deformation modulus using variations in transmissivity and RQD with depth

Cited by 31 publications

References 28 publications

A New Method for Improving the RQD Determination of Rock Core in Borehole

A New Method for Improving the RQD Determination of Rock Core in Borehole

Prediction of representative deformation modulus of longwall panel roof rock strata using Mamdani fuzzy system

Selection of a Field Testing Method for Karst Rock Mass Deformability by Multi Criteria Decision Analysis

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