白云岩砂化特征超前动态评价方法
By employing a combined missile-electric technology and an intelligent classification model, the challenge of advanced dynamic evaluation of dolomite sandification characteristics was solved, enabling advanced prevention and control during tunnel construction and improving construction safety and stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHANGJIANG RIVER SCI RES INST CHANGJIANG WATER RESOURCES COMMISSION
- Filing Date
- 2025-06-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies make it difficult to accurately determine the distribution range of dolomite sandification and the groundwater occurrence environment, which makes it difficult to guarantee the stability of the surrounding rock during tunnel construction, and frequently leads to geological disasters such as deformation, instability and sand inrush.
Using a method based on indoor experiments and geophysical exploration, dynamic and electrical parameters of dolomite are extracted through a combined missile-electric technology. Combined with radial basis function neural networks and autoencoder models, a dynamic evaluation and intelligent classification method for the sandification degree of dolomite is constructed to achieve advanced prevention and control during tunnel construction.
It improved the advanced detection capability for the construction of dolomite sandification tunnels, reduced construction risks, and ensured the safety and stability of tunnel construction.
Smart Images
Figure CN120779494B_ABST