Development of deep-underground engineering structures via 2D and 3D RQD prediction using non-invasive CSAMT
Muhammad Hasan1,2,3,4, Lijun Su5,6,7, Peng Cui8,9,10,11
1State Key Laboratory of Mountain Hazards and Engineering Resilience, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610299, China. mhasan@imde.ac.cn.
This study introduces a novel geophysical method for estimating rock quality designation (RQD) in deep underground projects. This faster, cheaper approach improves geological assessments for safer, more reliable engineering designs.
Area of Science:
- Geotechnical Engineering
- Geophysics
- Rock Mechanics
Background:
- Accurate rock mass characterization is crucial for deep underground engineering.
- Rock Quality Designation (RQD) is a key geomechanical criterion for risk assessment.
- Traditional RQD estimation methods (drilling) are time-consuming, costly, and provide limited data.
Purpose of the Study:
- To present an innovative geophysical approach for 2D and 3D RQD estimation.
- To provide a faster, cheaper, and more accessible method for obtaining geomechanical volumetric data.
- To evaluate the feasibility of using non-invasive Controlled Source Audio-frequency Magnetotellurics (CSAMT) for RQD estimation at depths exceeding 1 km.
Main Methods:
- Utilized a non-invasive geophysical technique (CSAMT) for RQD estimation.
- Applied the method in a geologically diverse rock setting to depths over 1 km.
- Developed a 2D and 3D RQD estimation approach.
Main Results:
- The geophysical approach provides easier, faster, and cheaper access to geomechanical volumetric data.
- The study demonstrates the first use of CSAMT for RQD estimation at depths over 1 km in diverse rock.
- The method offers a more precise and thorough evaluation of rock integrity.
Conclusions:
- The proposed geophysical method enhances the accuracy and efficiency of RQD estimation for deep underground projects.
- This approach facilitates safer, steadier, and more affordable construction of deep underground structures.
- It leads to more objective geomechanical indices and reduces data inconsistencies in geotechnical modeling.
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