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基于Barton-Bandis非线性破坏准则的岩体强度预测
引用本文:李永红,彭振斌,钟正强,何忠明,彭文祥.基于Barton-Bandis非线性破坏准则的岩体强度预测[J].中南大学学报(自然科学版),2009,40(5).
作者姓名:李永红  彭振斌  钟正强  何忠明  彭文祥
作者单位:1. 中南大学,地学与环境工程学院,湖南,长沙,410083;建设综合勘察研究设计院,广东,深圳,518057
2. 中南大学,地学与环境工程学院,湖南,长沙,410083
3. 中南大学,地学与环境工程学院,湖南,长沙,410083;长沙理工大学,交通运输工程学院,湖南,长沙,410004
4. 长沙理工大学,交通运输工程学院,湖南,长沙,410004
基金项目:国家自然科学基金资助项目 
摘    要:为了采用Barton-Bandis模型描述岩体特征,并将其参数应用于数值计算中,探讨Barton-Bandis参数到Mohr-Coulomb准则参数的转换,研究Barton-Bandis参数对Mohr-Coulomb参数的影响.研究结果表明:Barton-Bandis参数到Mohr-Coulomb准则参数的转换方法方便有效;随着节理粗糙系数JRC和节理压缩强度JCS的增大,Mohr-Coulomb参数粘结力c和内摩擦角φ均呈现非线性增大,可通过指数方程对其关系进行拟合;JRC的变化对粘结力的影响大于其对内摩擦角的影响;JRC对岩体剪切强度的影响大于JCS对岩体剪切强度的影响.

关 键 词:Barton-Bandis模型  岩体  强度预测

Strength prediction for rock mass based on Barton-Bandis nonlinear failure criterion
LI Yong-hong,PENG Zhen-bin,ZHONG Zheng-qiang,HE Zhong-ming,PENG Wen-xiang.Strength prediction for rock mass based on Barton-Bandis nonlinear failure criterion[J].Journal of Central South University:Science and Technology,2009,40(5).
Authors:LI Yong-hong  PENG Zhen-bin  ZHONG Zheng-qiang  HE Zhong-ming  PENG Wen-xiang
Abstract:In order to describe the rock mass characteristic based on the Barton-Bandis model, and apply its parameters in the numerical calculation, the transfer method from Barton-Bandis criterion parameters to the Mohr-Coulomb criterion parameters was proposed. The effects of Barton-Bandis criterion parameters on the Mohr-Coulomb criterion parameters were studied. The results show that the transfer method from Barton-Bandis criterion parameters to the Mohr-Coulomb criterion parameters is suitable and convenient. With the increase of friction coefficient JRC and compressive strength of joint JCS, the cohesion c and friction angle φ of Mohr-Coulomb parameters increase at the same time in the nonlinear form, whose relationship can be fitted by exponential equation. The variation of JRC has larger impact on the cohesion than that on the friction angle; and the impact of JRC on the shear strength of rock mass is larger than that of JCS.
Keywords:Barton-Bandis model  rock mass  strength prediction
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