Surrounding rock deformation parameter inversion and damage evaluation method and system based on while-drilling monitoring
By acquiring tunnel borehole parameters through monitoring while drilling and combining them with particle swarm optimization-backpropagation neural networks, accurate prediction of the elastic modulus of the surrounding rock and quantitative evaluation of rock mass damage were achieved. This solved the problems of insufficient real-time performance and objectivity in the evaluation of surrounding rock in existing technologies, and met the safety and refined design requirements of underground engineering.
CN121834993BActive Publication Date: 2026-06-02INST OF ROCK & SOIL MECHANICS CHINESE ACAD OF SCI
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INST OF ROCK & SOIL MECHANICS CHINESE ACAD OF SCI
- Filing Date
- 2026-03-16
- Publication Date
- 2026-06-02
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Figure CN121834993B_ABST
Abstract
The application discloses a surrounding rock deformation parameter inversion and damage evaluation method and system based on while-drilling monitoring, and belongs to the technical field of underground engineering and rock mass mechanics, and the method comprises the following steps: acquiring while-drilling parameters in a tunnel drilling process; calculating axial drilling pressure and rotary load energy according to the while-drilling parameters; weighting and fusing the axial drilling pressure and the rotary load energy to obtain an elastic modulus prediction value of surrounding rock; calculating and determining a rock mass damage variable according to the elastic modulus prediction value of the surrounding rock; and calculating and determining a rock mass damage graph of each section of the tunnel according to all the rock mass damage variables in the tunnel drilling process. The method realizes accurate prediction of the elastic modulus of the surrounding rock and the rock mass damage variable, and solves the problems that the current elastic modulus prediction of the surrounding rock is inaccurate and the rock mass damage variable cannot be intuitively displayed.
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