The Study On The Evolution Of The Mechanical Parameters Of The Post-Peak Of The Deep Hard Rock

In the21st century, rock engineering has developed very quickly at home and abroad, more and more related to the energy, transportation, mining, water conservancy construction and defense project. At present, these projects have to face a lot of rock excavation and handling issues related to the large number of rock engineering properties. The rock s strength characteristics and mechanical properties of rock mass after the peak have a direct impact on these engineering designs, constructions and stability assessment, geotechnical reinforcement. This article takes the method of numerical simulation to simulate the excavation of underground engineering.In this paper, the main work includes:(1) Theory of deep hard after one rock mechanical characteristicsThrough the study of the search in the database, deep insight into the hard after one rock mechanical characteristics of theoretical knowledge. And Join own understanding at the same time, studies the research achievements of others, consolidate their subsequent theoretical basis of the research.(2) Rock mass mechanical parameters sensitivity studyUsing FLAC3D numerical software, design simulation program, the elastic modulus, poisson ratio, tensile strength, initial residual cohesive force, cohesive force, the initial residual Angle of internal friction, internal friction Angle, cohesive force of the critical strain value, internal friction Angle of the critical strain value nine parameters of rock mass was studied by means of sensitivity analysis.(3) Cohesive force and internal friction Angle of curve sensitivity studyFLAC3D values using software designed simulation programs to change from an initial value to both linear residual value of change, and the displacement volume of the plastic zone was observed in the different sensitivity of non-linear variation.(4) Seek sensitivity parametersIn the above study, based on the sensitivity parameter characterization seeking cohesion and internal friction angle convex nonlinear curve of degree.(5) Examples inverse analysisBased on BP neural network and genetic algorithm incremental displacement back analysis method, combined with engineering examples, the parameters studied evolution.