Mechanical Response of Tailings under Monotonic Triaxial Tests inUnsaturated and Nearly Saturated Conditions
Bibliographic record
Abstract
A detailed knowledge of the mechanical behaviour of unsaturated tailing wastes is a key element to assess the stability analysis of tailing facilities, considering the variation of the soil strength due to climate effects, rainfall, or poor management in order to minimize the high rate of recent failures associated with unacceptable fatalities, economic and environmental damages.This research investigates the mechanical behaviour of unsaturated fluorite ore wastes collected after the failure of the Stava tailing dams (Italy).The static liquefaction response of the tailings was studied by carrying out CIU triaxial tests by through application of different backpressures to obtain unsaturated or nearly saturated specimens.The influence of the degree of saturation on the mechanical response of Stava tailings is investigated and the static liquefaction strength evaluated.Outcomes are interpreted based on the Water Retention Curve estimated by performing water retention tests on the same soil, and within the Critical State framework.Results are also compared with those obtained in fully saturated conditions from a previous experimental campaign.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".