On The Compression Behaviour of Unsaturated Silty Tailings: An Experimental Investigation
Bibliographic record
Abstract
A detailed characterization of tailings under unsaturated conditions is essential to reproduce their stressstrain response and represents a key tool for assessing reliable stability analysis of tailing dams both during the design phase, the mining activities, and after operations cease.Given these aspects, this research shows the main results of an experimental campaign carried out on quarzitic tailings to analyse their hydro-mechanical behaviour under unsaturated conditions.The investigation consists of oedometer compression tests on the silty fraction of Stava tailings under constant water content conditions.The effects of the matric suction and sample preparation technique on the 1d-Normal Compression Line (1d-NCL), the compressibility, and the occurrence of a transitional behaviour are studied, with the suction level evaluated based on the water retention tests (WRC).The experimental results are compared with those obtained under saturated conditions and with literature data dealing with fine soils in an unsaturated state.The Basic Barcelona Model (BBM) was proved to successfully describe the dependency of the soil compressibility, the pre-consolidation stress, and the recompression also of tailing materials on their suction level.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".