Revue de divers aspects liés à la stabilité géotechnique des ouvrages de retenue de résidus miniers: Partie I – Mise en contexte et caractéristiques générales
Bibliographic record
Abstract
Dikes constructed for tailings impoundment must be designed to support critical loads during mining operation and after closure. Various incidents that occurred over the last few years around the globe have shown that ensuring the geotechnical stability of such retaining works still raises numerous challenges. Many organisations are reviewing their guidelines for the design criteria and methods of analysis to evaluate the stability of tailings dikes. In this first article, the general nature of the problem is reviewed, together with typical properties of tailings from hard rock mines and characteristics of dikes. The second article will address the main factors that affect their geotechnical stability. Les digues construites pour les parcs à résidus miniers doivent être conçues de façon à pouvoir supporter les charges critiques anticipées durant l’opération de la mine et après sa fermeture. Divers incidents survenus au cours des dernières années autour du globe montrent qu’assurer la stabilité géotechnique de ces ouvrages de retenue soulève encore de nombreux défis. Plusieurs organisations revoient présentement leurs lignes directrices relativement aux critères de conception et aux méthodes d’analyse pour évaluer la stabilité des ouvrages de retenue et de confinement des rejets miniers. Dans ce premier article, on revoit la problématique générale, les propriétés usuelles des résidus de mines en roches dures, ainsi que les caractéristiques des digues de retenue. Le deuxième article abordera les principaux facteurs qui affectent la stabilité géotechnique des ouvrages.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".