Strategies for mining in highly burst-prone ground conditions at Vale Garson Mine
Bibliographic record
Abstract
While mining at depth in #1 Shear East orebody from 4700 Level to 5100 Level at Vale's Garson Mine in the Sudbury Basin, several major seismic events have occurred.The largest of these events recorded a magnitude of 3.1 Mn (Nuttli), resulting in substantial damage to underground openings on multiple levels.Described within this paper are the findings from an extensive review of those major seismic events focusing on the determination of source mechanisms.Both strategic and tactical mitigation measures to withstand future seismic impact are presented in the paper.Strategic measures include: developing an engineering geology model to identify all future high risk zones; undertaking numerical modelling to re-examine mining sequence; and investigating a mining layout change from transverse to longitudinal mining to gain a favourable stress environment.Tactical measures include: developing a methodology to determine the types of enhanced support required for high risk zones and standardising ground support practices when mining through various active dykes.Additionally, numerical modelling indicates that the dyke pillar between #1 Shear East and #1 Shear West zones is subject to core failure at a certain mining stage.Also discussed within this paper are strategies to mitigate dynamic load-induced damage associated with the dyke pillar failure including field instrumentation and monitoring program (SMART cable bolts and MPBX).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".