统算多源异构地勘信息的隧道围岩质量概率化评价方法
By using a probabilistic evaluation method based on multi-source geological information, a nonlinear mapping model and a probability distribution model were established. This solved the problems of insufficient utilization of multi-source information and uncertainty assessment in the prediction of surrounding rock quality in tunnel engineering, and enabled more accurate judgment of surrounding rock grade and control of construction risks.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DALIAN JIAOTONG UNIVERSITY
- Filing Date
- 2026-05-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for predicting the quality of surrounding rock in tunnel engineering rely on a single detection method, which makes it difficult to integrate multi-source geological information. This results in predictions that are either too predictive or lack sufficient uncertainty assessment, which can easily lead to misjudgments of the surrounding rock grade and affect construction safety and cost control.
A probabilistic evaluation method for tunnel surrounding rock quality using multi-source heterogeneous geological exploration information is adopted. By collecting various geological prediction parameters, a nonlinear mapping model and a probability distribution model are established to conduct a reliability probability analysis of the surrounding rock grade, thereby achieving comprehensive evaluation of multiple indicators and uncertainty assessment.
It improves the accuracy and reliability of surrounding rock classification, is applicable to complex geological conditions, provides a reliable basis for support design, reduces the risk of misjudgment, and enhances engineering safety and efficiency.
Smart Images
Figure CN122220918B_ABST