Physical modelling of oil sands tailings consolidation
Bibliographic record
Abstract
The self-weight consolidation of oil sands tailings and kaolinite slurry is modelled using a new geotechnical beam centrifuge located at the University of Alberta (Geomechanical Reservoir Engineering Facility (GeoREF) centrifuge). The centrifuge is used to create a prototype-effective stress regime in the model, and centrifuge tests are conducted at different initial compositions at acceleration levels of 40 to 100g. The objectives of the centrifuge tests are to study the long-term consolidation behaviour, derive consolidation parameters, verify modelling procedures and to evaluate time-domain reflectometry application for solids content profile monitoring during centrifuge testing. The interface settlement, pore pressure and solids content profiles of the consolidating materials are monitored in-flight. Large strain consolidation parameters are derived from centrifuge tests and compared with parameters determined from a large strain consolidometer. The paper describes the modelling aspect as well as the instrumentation and monitoring of centrifuge tests. The centrifuge results are presented, discussed and compared using results from large strain numerical models.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".