Environmentally sound technologies of ore drawing with waste rock disposal in underground mines
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The work deals with studies of broken ore drawing and transporting from blocks and subsequent disposal of waste rocks in the mined-out space of underground mines by means of self-propelled underground loaders (ULs) using loading faces. When loading broken ore, incomplete loading of the machine bucket when digging it in at an angle to the ore pile is proved to be the main disadvantage. This reduces efficiency of using self-propelled ULs while transporting broken ore. Additionally, when digging the UL bucket in at an angle to the pile, the load on one of the sides of the machine increases, which causes corresponding adverse transformations of the UL design. To eliminate the above disadvantages, the structure of the block bottom is designed and proposed with loading workings with the front-end loading of the ore when digging the UL bucket in at an angle of 90° to the pile. The proposed technologies are proved to enable an increase in the volume of the bucket filling per cycle. The increased amount of broken ore in the bucket contributes to increased productivity of the load-transport equipment, thus reducing the adverse impact of rock pressure on workings of the block bottom by reducing the time for mining the block. The work proposes resource-saving technologies that will allow underground mining of rich ores with subsequent disposal of waste rocks from workings in the mined-out space of operating underground mines applying self-propelled loaders. The work also studies issues of the impact of the technology of underground mining and disposal of mining and metallurgical wastes on stability of the rock massif and the daylight surface. The proposed highly efficient technologies enable stabilizing geodynamic processes in the rock massif through backfilling the mined-out space.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it