Effect of drainage conditions, bed thickness, and age on the shear strength of mine tailings in a very low stress range
Bibliographic record
Abstract
The present study utilized a specially built tilting tank to measure the shear strength of deposited mine tailings beds under different degrees of drainage and in the stress range below 1 kPa. Two modes of tilting were employed to simulate drained and partially drained conditions. The slow tilting mode ensured that the excess pore pressure generated in the tailings bed in response to shearing remained low and did not influence the shear strength of the bed. During rapid tilting, the excess pore pressure build-up was significant and ultimately led to bed failure. Failure occurred at a plane parallel to the surface of the bed and at a depth of 0.4 to 1.5 cm. Linear drained and partially drained shear strength envelopes with zero cohesion intercept were defined over the vertical stress range of 0 to 1 kPa. The effective friction angles were determined to be 40.4° and 40.8° for the 3 and 12 day old beds, respectively. For beds of the same thickness and age, the total friction angles obtained from partially drained tests were 23.3° and 23.8°, respectively. Small variations in total and effective friction angles with consolidation time were observed.
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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 | 0.000 | 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) | 0.000 | 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 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".