Tunnel surrounding rock pressure arch calculation system
By using multi-source data fusion and deep learning technology, the accurate calculation and adaptive optimization of the pressure arch parameters of the tunnel surrounding rock were achieved, solving the problems of surrounding rock type identification and calculation result deviation in traditional methods and improving the safety of tunnel construction.
Patent Information
- Application Number
- CN202512010940.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-29
- Publication Date
- 2026-04-10
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing methods for calculating the pressure arch of tunnel surrounding rock fail to fully consider the time-varying characteristics of stress release in the surrounding rock during tunnel excavation, fail to comprehensively utilize multi-source data, have insufficient accuracy in identifying surrounding rock types, and lack in-depth correlation analysis and closed-loop feedback mechanisms. This results in large deviations between the calculation results and actual working conditions, making it difficult to adapt to complex geological conditions.
By employing a multi-source data fusion acquisition module, a surrounding rock grade intelligent identification module, an adaptive pressure arch parameter calculation module, and a dynamic load prediction and optimization module, and through deep learning and spatiotemporal collaborative prediction, the accurate calculation and closed-loop optimization of the tunnel surrounding rock pressure arch parameters are achieved.
It improves the accuracy of surrounding rock type identification and the calculation precision of pressure arch parameters, reduces prediction errors, enhances the system's adaptability, and meets the precision requirements of engineering design.