摘要
鉴于岩体结构面粗糙度和壁岩强度的影响使结构面抗剪强度呈现非线性特征,传统极限平衡分析法采用平均值来表征岩体物理力学指标使评价结论未能充分顾及到指标的离散性,提出了基于Barton-Bandis非线性破坏准则的边坡破坏概率分析方法。通过野外地质测量获得岩体结构面轮廓曲线及回弹值,经过处理计算后分别获得结构面粗糙度系数JRC,壁岩强度JCS、基本摩擦角φb等参数的多组样本数据,并验证了各参数样本数据的概率分布。基于Barton-Bandis准则建立了柏杨庙矿山边坡的稳定性分析模型,采用Morgenstern-Price法计算出该边坡的多组稳定性系数,通过蒙特卡罗法对其进行统计分析,确定了边坡的破坏概率,并与传统极限平衡分析法的计算结果进行了对比分析。研究表明:基于Barton-Bandis准则的边坡破坏概率分析方法在进行边坡稳定性分析时充分考虑了岩体结构面抗剪强度的非线性特征和抗剪强度参数的离散性,是岩质边坡稳定性分析的有效方法。
In view of the nonlinear characteristics of joints due to the influence of roughness and compressive strength of rock mass joints,the traditional limit equilibrium method uses mean to characterize the physical and mechanical indexes of rock mass,so that the evaluation conclusion can not fully take into account the discrete nature of the indexes.A slope failure probability analysis method based on Barton-Bandis nonlinear failure criterion is proposed.Through field geological survey,the contour curve and rebound value of rock mass joints are obtained.The multi-group sample data of roughness coefficient JRC,compressive strength JCS and basic friction angleφb of joints are obtained after processing and calculating,and the probability distribution of parameters’sample data is verified.Based on the Barton-Bandis criterion,the stability analysis model of Baiyangmiao Mine slope is established,the multi-group stability coefficients of the slope are calculated by Morgenstern-Price method,and its statistical analysis is carried out by Monte Carlo method to determine the failure probability of the slope,and compared with the calculation results of the traditional limit equilibrium method.The study results show that the method of slope failure probability analysis based on Barton-Bandis criterion fully takes into account the nonlinear characteristics of shear strength of rock mass joints and the dispersion of shear strength parameters in slope stability analysis,and is an effective method for stability analysis of rock slope.
作者
陈欢欢
雍睿
刘子航
CHEN Huanhuan;YONG Rui;LIU Zihang(College of Civil Engineering,Shaoxing University,Shaoxing 312000,China)
出处
《金属矿山》
CAS
北大核心
2020年第11期44-52,共9页
Metal Mine
基金
国家自然科学基金项目(编号:41502300)
浙江省自然科学基金项目(编号:Q16D020005)。
