一种深厚覆盖层原状土制样方法及装置
By collecting and analyzing thrust, displacement, and velocity data during the preparation of undisturbed soil samples in deep overburden layers, and utilizing displacement domain latent state recursive networks and neural discrete-time hazard rate models, the critical release at the front-end interface of the soil core is accurately identified and controlled. This solves the problem of sampling disturbance that is difficult to identify in existing technologies and ensures the quality of soil samples.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA HYDROELECTRIC ENGINEERING CONSULTING GROUP CHENGDU RESEARCH HYDROELECTRIC INVESTIGATION DESIGN AND INSTITUTE
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies make it difficult to accurately identify the location where the front interface of the soil core first enters the critical release state during the sampling process of undisturbed soil in a thick overburden layer under the condition of semi-closed tube without opening the tube, resulting in sampling disturbance and structural instability.
By collecting axial thrust, propulsion displacement, and propulsion speed during the lead screw propulsion process, an ejection data sequence is formed. The displacement is divided into segments, and the changes in resistance softening, stiffness attenuation, and work done per unit displacement are extracted. Using a displacement domain latent state recursive network and a neural discrete-time hazard rate model, the probability of the first critical release is calculated, and trigger position and control command are generated.
It enables accurate identification and online control of the first critical release state of the soil core front-end interface, reduces sampling disturbance, and maintains the structural integrity and representativeness of the undisturbed soil sample.
Smart Images
Figure CN122409244A_ABST