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Research on the Four-Component Borehole Strain Response to Rock Fracture
Yifan Li1, Yongxing Shen1, Zengchao Feng1
1Key Laboratory of In-Situ Property Improving, Mining of Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China.
This study introduces three new indices to monitor rock fractures using four-component borehole strain data. These indices effectively detect fractures and their performance varies with borehole geometry and distance to the fracture zone.
Area of Science:
- Geotechnical Engineering
- Rock Mechanics
- Geophysics
Background:
- Rock fracture monitoring is critical for the safety and stability of rock engineering projects.
- Existing methods may not fully capture the complex deformation associated with rock fracture events.
Purpose of the Study:
- To analyze the response characteristics of four-component borehole strain (FCBS) during rock fracture events.
- To propose and validate novel strain response indices for quantitative rock fracture characterization.
- To investigate the influence of installation parameters on the effectiveness of these indices.
Main Methods:
- Numerical simulations of large-scale local rock fracture.
- Application of linear elastic mechanics theory and Gaussian white noise model.
- Development of three strain response indices: areal strain index (pja) and two shear strain indices (pj13, pj24).
Main Results:
- The areal strain index (pja) is independent of the FCBS gauge installation angle.
- Shear strain indices (pj13, pj24) show complementary variations with installation angle.
- All three indices decrease with increasing distance from the fracture zone, following a power law relationship (y = ax^b).
- Index performance varies significantly with borehole orientation, with combined indices offering better fracture reflection.
- The effective monitoring range for rock fractures is between 55 m and 65 m, averaging 60.7 m.
Conclusions:
- The proposed strain response indices provide a quantitative method for rock fracture monitoring.
- Installation angle, distance to fracture, and borehole orientation significantly impact monitoring effectiveness.
- Combined analysis of areal and shear strain indices enhances the reliability of rock fracture event detection.
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