DYNAMIC ANALYSIS OF HEAP LEACH PAD UNDER HIGH PHREATIC LEVELS
Bibliographic record
Abstract
SUMMARY The occurance of high phreatic levels is not common in heap leach pads. However some sulfide copper heaps, where the acid solution used for leaching degrade the ore, can result in the occurrence of relatively high phreatic levels. This condition can compromise stability of the leaching facility , particularly in active seismic zones where high magnitude earthquakes could induce liquefaction of the saturated ore and cause a flow failure of the heap. This paper presents a dynamic analyses of heap leach pad stability under high phreatic levels and various levels of seismic loading. The dynamic analyses were conducted as fully non-linear two dimensional analyses with fully coupled liquefaction triggering using the Fast Lagrangian Analysis of Continua (FLAC) computer code. The potentially liquefiable zones were modeled considering an elasto-plastic formulation implemented in the user defined UBCSAND model, which is a the state-of-art procedure. The geotechnical parameters, appropriate earthquake record selection and modification, model calibration, numerical analyses and results are discussed in the following sections. Heap leach design is typically based on the assumption that the phreatic level should not be higher than 1 meter during normal operating conditions. The phreatic level within the heap is controlled mainly by the solution collection system sizing and ore permeability. However, with sulfide copper ore, the acid solution used for leaching progressively degrades the ore, and the occurrence of relatively high phreatic levels is more common, often much more than 1 meter. This condition can compromise the stability of the heap leach facility particularly in active seismic zones, where high magnitude earthquakes can induce liquefaction of the saturated ore and a flow failure of the heap.
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How this classification was reachedexpand
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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 | 0.000 |
| 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) | 0.001 | 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
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