Strength characterisation of shale using Mohr-Coulomb and Hoek-Brown criteria

被引:49
作者
Bejarbaneh, Behnam Yazdani [1 ]
Armaghani, Danial Jahed [1 ]
Amin, Mohd For Mohd [1 ]
机构
[1] Univ Teknol Malaysia, Fac Civil Engn, Dept Geotech & Transportat, Utm Skudai 81310, Johor, Malaysia
关键词
Rock material; Triaxial compressive strength; RMR; Hoek-Brown failure criterion; Mohr-Coulomb strength criterion; Shale; SHEAR-STRENGTH; ROCK;
D O I
10.1016/j.measurement.2014.12.029
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Parameters on rock material strengths like triaxial compressive strength are usually determined from laboratory test on intact rock samples. Uncertainties arise in predicting the behaviour of a rock mass under confinement due to its discontinuous nature. Discontinuity such as joint induces inhomogeneous and anisotropic behaviour in the rock mass, in contrast to the behaviour of intact rock samples used in the lab tests. Several empirical approaches such as Rock Mass Rating (RMR) are available to classify and to evaluate the mass strength of discontinuous rock. However, RMR suffers from several limitations for it is not suitable for very poor quality rock mass such as shale. This study investigates the suitability of the new empirical approach namely Hoek-Brown failure criterion (2002). Such that it together with RocLab software, are used to evaluate and to assess the strength of rock mass under confinement and field condition. In this study two failure criteria were served. Results obtained indicate that the failure envelope derived using the new Hoek-Brown criterion shows a better presentation of shale under field condition in comparison with the classic Mohr-Coulomb method. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:269 / 281
页数:13
相关论文
共 37 条
[1]   Experimental Study of Brittle Behavior of Clay Shale in Rapid Triaxial Compression [J].
Amann, Florian ;
Kaiser, Peter ;
Button, Edward Alan .
ROCK MECHANICS AND ROCK ENGINEERING, 2012, 45 (01) :21-33
[2]  
[Anonymous], B ENG GEOL ENV
[3]   Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network [J].
Armaghani, Danial Jahed ;
Hajihassani, Mohsen ;
Bejarbaneh, Behnam Yazdani ;
Marto, Aminaton ;
Mohamad, Edy Tonnizam .
MEASUREMENT, 2014, 55 :487-498
[4]   SHEAR-STRENGTH OF ROCK AND ROCK JOINTS [J].
BARTON, N .
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 1976, 13 (09) :255-279
[5]  
Barton N., 1974, Rock Mech., V6, P189, DOI [10.1007/bf01239496, 10.1007/BF01239496, DOI 10.1007/BF01239496]
[6]  
Bienawski Z.T., 1976, P S EXPLORATION ROCK, P97
[7]  
Bieniawski Z.T., 1984, Rock Mechanics Design in Mining and Tunneling, P272
[8]  
Cecil O.S., 1975, THESIS U ILLINOIS, P275
[9]  
Deere D., 1968, Rock mechanics in engineering practice
[10]  
Deere D.U., 1967, P 8 US S ROCK MECH M, P237