Aplicación de Destress Blasting en desarrollo de túneles en ambiente de esfuerzos altos
Bibliographic record
Abstract
Rock Mass preconditioning techniques, commonly used in the mining industry, can be applied to large scale affecting a significant volume of rock, or to local scale affecting a reduced volume of rock mass around a tunnel during excavation. The latter is the case of the infrastructural tunnels of New Mine Level project, at El Teniente mine (Codelco). Preconditioning methods include the Destress Blasting, which is based on the use of confined explosives that are blasted simultaneously with the construction blast at the tunnel face, this allows to reduce the load transfer capacity around the excavation. This technique has been used in deep mines in Canada and South Africa to reduce the risk of seismic events due to a high stress condition. In this study the authors describe the Destress Blasting technique and its design used in the Personnel Access Tunnel P4600 (TAP P4600) of New Mine Level project. Finally, based on the geological, geotechnical and operational data captured during the works, the preliminary results are given together with a comparison of the seismic behaviour of the rock mass with and without the application of this preconditioning technique
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".