Hydro-Mechanical Behaviour and Critical State Conditions of Unsaturated Silty Tailings
Bibliographic record
Abstract
The in-depth knowledge of the hydro-mechanical response of tailings finds its practical application as a fundamental tool to reliably assess the stability of the tailing storage facilities, which the high rate of recent collapses poses unacceptable fatalities with environmental and economic damages. This research investigates the hydro-mechanical behaviour of unsaturated fluorite ore tailings collected after the collapse of the Stava dams (Italy). The coupled hydro-mechanical response was studied by carrying out suctioncontrolled triaxial tests, the Critical State in unsaturated conditions was investigated by imposing different stress-paths, and the experimental results are compared with those obtained on the same material in saturated conditions. Outcomes are interpreted based on the Water Retention Curve (WRC), obtained by performing water retention tests on the same material.
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How this classification was reachedexpand
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 | 0.000 |
| 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 teacher head, 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".