Earthquake Induced Liquefaction Potential of Paste Tailings: ShakingTable Results
Bibliographic record
Abstract
Highly densified tailings, such as paste tailings, are a novel technology of tailings (soils produced by mining activities) disposal and management. Paste tailings are generated from the significant dewatering of the slurry tailings produced in the mine processing plant. This technology provides numerous benefits to the mines, such as reduction of the dependency on conventional tailings dams with their associated risks (disastrous geotechnical and environmental failures) and the increase in water recovery and recycling. However, regulators are worried about liquefaction potential of paste tailings deposits in regions that are prone to earthquakes. Up to date, no investigations have been conducted to evaluate the liquefaction potential of paste tailings using a shaking table. Therefore, the purpose of this research is to evaluate the liquefaction potential of paste tailings under seismic loading conditions using one-dimensional shaking table equipment. The paste tailings were deposited in thin layers and were subjected to the atmospheric desiccation process in order to gain strength before performing the shaking table tests. The paste tailings deposit was subjected to a sinusoidal dynamic loading with a frequency of 1 Hz and peak horizontal acceleration of 0.13 g. The variation of pore-water pressure within paste tailings deposit was monitored during the shaking test. The test results showed that the paste tailings can be susceptible to liquefaction under the considered testing conditions.
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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".