Abstract The extra-long deeply buried Qinling water conveyance tunnel, located under the ridge of Qinling, passes through dozens of faults; of these faults, three regional faults have the greatest impact on the tunnel's construction. In this paper, the characteristics of the main fault zones are discussed from the aspects of tectonics, kinematics, fabric, geometry, etc., and the relevant impacts on tunnel construction are studied based on fault activity, rock strength and integrity, structural plance condition, underground water condition, occurrences of main structural planes and physical parameters. The results show that the characteristics of tectonics, kinematics, fabric, geometry and the formation mechanism of surrounding rock deformation can be used as a geological basis for predicting a spatial distribution rule. Through a comprehensive assessment of the engineering characteristics of rocks in fault zones, the surrounding rock classfication and lining support parameters can be optimized, providing effective guidance for tunnel design and construction.
Abstract:
The extra-long deeply buried Qinling water conveyance tunnel, located under the ridge of Qinling, passes through dozens of faults; of these faults, three regional faults have the greatest impact on the tunnel's construction. In this paper, the characteristics of the main fault zones are discussed from the aspects of tectonics, kinematics, fabric, geometry, etc., and the relevant impacts on tunnel construction are studied based on fault activity, rock strength and integrity, structural plance condition, underground water condition, occurrences of main structural planes and physical parameters. The results show that the characteristics of tectonics, kinematics, fabric, geometry and the formation mechanism of surrounding rock deformation can be used as a geological basis for predicting a spatial distribution rule. Through a comprehensive assessment of the engineering characteristics of rocks in fault zones, the surrounding rock classfication and lining support parameters can be optimized, providing effective guidance for tunnel design and construction.