岩土力学2018，Vol.39Issue(3)：1082-1090,1099,10.DOI:10.16285/j.rsm.2017.1641
深部岩石考虑残余强度时三轴试验离散元定量模拟及参数分析
Quantitative simulation of triaxial test considering residual strength on deep rock using DEM and parameter analysis
摘要
Abstract
Deep rock is characterised by high stress and large deformation in underground engineering.It is of great significance to investigate its mechanical properties by conducting the triaxial tests under high confining pressure and considering a residual strength.The distinct element method (DEM) is an essential numerical method for analysing the mechanical properties of rock.However,there have been many challenges in quantitatively simulating the rock by DEM in the triaxial tests.The reason is that it is challenging to quantitatively reproduce the complete stress-strain curves of rock using DEM.By considering the residual strength of rock,the triaxial compression tests on deep sandstone were quantitatively simulated by DEM using the improved three-dimensional (3D) bond model incorporating rolling and twisting resistance.The results show that this study successfully achieves the quantitative reproducing of the complete stress-strain curves.The large peak/residual internal friction angle and nonlinear strength envelope of rock are obtained as well.Meanwhile,this study overcomes three prominent challenges of the classic bonded-particle model (BPM).The relationships among the peak/residual internal friction angle,cohesion and microscopic parameters of DEM are discussed through a large number of simulations.At the same time,the high computational efficiency is proved using the improved model,which can satisfactorily meet the requirements of the 3D simulation for conventional laboratory tests.关键词
深部岩石/残余强度/三轴试验/定量模拟/离散单元法/参数分析Key words
deep rock/residual strength/triaxial test/quantitative simulation/distinct element method/parameter analysis分类
建筑与水利引用本文复制引用
李磊,蒋明镜,张伏光..深部岩石考虑残余强度时三轴试验离散元定量模拟及参数分析[J].岩土力学,2018,39(3):1082-1090,1099,10.基金项目
国家重点基础研究发展规划(973)项目(No.2014CB046901).This work was supported by the National Basic Research Program of China (973 Program) (2014CB046901). （973）
