Analysis of microseismicity in excavation of underground powerhouse in high geo-stress area
Bibliographic record
Abstract
The underground powerhouse of Houziyan Hydropower Station is characterized as large buried depth,high geo-stress and complicated geological conditions,developed structural planes and secondary faults. In order to study the stability of surrounding rock of underground powerhouse during the excavation,the real- time dynamic monitoring was carried out by using ESG Microseismic Monitoring System of Canada. The monitoring results showed that the number of micro- seismic events during excavation was relatively large and concentrated between No. 1 and No. 3 busbar tunnels and the upper surrounding rock. Meanwhile,through the analysis of construction situation and geological condition,this area was recognized and marked as unstable area. On the basis of existed microseismicity data,by using conventional monitoring data,the inner relationship between deformation of surrounding rock and spatial distribution of microseismicity was explained. The research results can provide reference for subsequent support construction,also help understanding the rock damage and deformation mechanism under high geo- stress situation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".