深部硬岩峰后力学参数演化规律研究
[Abstract]:In the 21st century, rock mass engineering is developing rapidly at home and abroad, and more projects involving energy, transportation, mining, water conservancy and national defense have been built. At present, these projects have to face a large number of rock excavation and treatment problems, involving a large number of rock engineering properties. The strength characteristics of rock mass and the mechanical properties of rock mass after peak have a direct effect on the design, construction and stability evaluation of these projects, as well as the reinforcement of rock and soil. In this paper, the numerical simulation method is used to simulate the excavation of underground engineering section, and compared with the measured data, the evolution law of the mechanical parameters after the peak is studied. The main work of this paper is as follows: (1) theoretical study on the post-peak mechanical properties of deep hard rock through searching and learning in the database, we can deeply understand the theoretical knowledge of the post-peak mechanical properties of deep hard rock, and add our own understanding at the same time. Research, learn the research results of others, consolidate their own theoretical basis for further research work. (2) the sensitivity of mechanical parameters of rock mass is studied by using FLAC3D numerical software, and the simulation calculation scheme is designed for elastic modulus, Poisson's ratio, tensile strength, initial cohesive force, residual cohesive force, initial internal friction angle, residual internal friction angle, and residual internal friction angle. The critical strain value of cohesive force and the critical strain value of internal friction angle are studied for the sensitivity analysis of 9 rock mass parameters. (3) the sensitivity of cohesive force and internal friction angle change curve is studied. By using FLAC3D numerical software, a simulation calculation scheme is designed to change the linear variation mode from initial value to residual value. The sensitivity of plastic zone volume and displacement under different nonlinear variation forms was observed. (4) on the basis of the above research, the sensitivity parameters are found to represent the concave and convex degree of the nonlinear curve of cohesive force and internal friction angle. It can ensure that the sensitivity parameter corresponds to the curve one by one. (5) case back analysis based on BP neural network and genetic algorithm displacement increment inverse analysis method, combined with engineering examples, the evolution law of mechanical parameters behind deep hard rock peak is studied.
【学位授予单位】:东北大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:TU45;TD313
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