A high-risk sudden-inrush water tunnel auxiliary gallery group hole targeted drainage construction method

Through an intelligent quantitative analysis system that integrates multi-source data and numerical simulation verification, the problems of drainage blind spots and borehole accuracy deviations in high-risk tunnels with sudden water inrush have been solved, achieving stability and efficiency in targeted water drainage from boreholes, and making it suitable for tunnel construction under complex geological conditions.

CN122106672APending Publication Date: 2026-05-29CHINA RAILWAY 12TH BUREAU GRP CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA RAILWAY 12TH BUREAU GRP CO LTD
Filing Date
2026-01-23
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Traditional drainage hole construction suffers from drainage blind spots, drilling accuracy deviations, and delayed sealing of sudden water inrushes in high-risk tunnels, making it difficult to meet the needs of rapid pressure relief and precise control in water-rich and fractured strata.

Method used

By adopting an intelligent quantitative analysis system that integrates multi-source data, and through algorithm optimization and parameter correction, combined with numerical simulation verification, we can achieve accurate identification of rock strata characteristics and optimal matching of borehole diameters, thus ensuring the stability and efficiency of borehole-targeted drainage construction.

Benefits of technology

It avoids drainage blind spots, improves the timeliness of dealing with sudden water inrush, significantly enhances the stability and efficiency of borehole targeted drainage technology, and reduces the possibility of sudden water inrush.

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Abstract

The application belongs to the technical field of tunnel construction, and discloses a high-risk sudden gushing water tunnel auxiliary gallery group hole targeted drainage construction method. The application breaks through the limitation of traditional "single data + experience judgment", innovatively constructs an intelligent quantitative analysis system of multi-source data fusion, realizes accurate identification of rock stratum characteristics through algorithm optimization, parameter correction and dynamic verification, avoids drainage blind area, improves the solution time efficiency of sudden water gushing, solves the technical problem of inaccurate analysis of rock stratum by drainage holes under complex geological conditions, and provides a reliable basis for subsequent construction.
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