Effects of low suction and wetting–drying cycles on filtered tailings shear strength
Bibliographic record
Abstract
Filtered tailings management has many advantages over traditional slurry tailings management, such as improved water recovery and recirculation, and a reduction of geotechnical risk. However, the long-term evolution of the water content in filtered tailings exposed to climatic conditions could affect its geotechnical properties. Shear strength properties of unsaturated tailings have a critical role when evaluating the geotechnical stability of a dry stack facility, especially in the context of climate change. The objective of this research was, therefore to investigate the influence of drying and wetting cycles on the shear strength of filtered tailings for a low matric suction range (i.e. 0~50 kPa). A series of consolidated–drained (CD) direct shear tests were conducted on re-compacted unsaturated filtered tailings specimens. For each matric suction achieved by following either the wetting or drying curve, three direct shear tests were performed with varying normal stresses. Direct shear test results showed a nonlinear increase in the unsaturated shear strength with the normal stress and matric suction. Empirical hyperbolic functions were used to fit experimental data and evaluate the shear strength of unsaturated filtered tailings for a higher matric suction range. Test results also indicated some hysteresis, and the shear strength during drying was smaller than during wetting for the same matric suction. However, matric suction and water retention curve (WRC) hysteresis had no significant impact on the measured effective friction angle.
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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".