Degradation of polyethylene geomembranes exposed to different mine tailings pore waters
Bibliographic record
Abstract
The chemical durability of three 1.5 mm geomembranes (GMBs) – two made from high-density polyethylene (HDPE) and one from a blended polyolefin resin – was examined over 3 years in synthetic tailings pore water solutions. The immersion solutions included a pH 4.0 solution simulating pore water from oxidized copper-zinc mine tailings (PW-4), pH 7.0 (PW-7) and 8.0 (PW-8) solutions simulating arsenic-bearing pore waters from saturated gold mine tailings, and a pH 9.5 solution (PW-9.5) simulating pore water affected by cyanide complexes and/or chemicals from a cyanidation plant. Both HDPE GMBs reached nominal failure in stress-crack resistance at 85 °C, followed by reductions in melt index and, in some cases, tensile strength. The blended GMB showed no degradation. PW-7 was the most aggressive solution in terms of degradation of mechanical properties of the HDPEs, while PW-9.5 was the most aggressive for antioxidant depletion for all three GMBs. The relative performance of the three GMBs in different tailings pore waters could not be predicted from the GMBs’ initial properties or the solutions' chemistry. Overall, results highlight the importance of conducting immersion tests for applications involving complex chemical environments.
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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 | 0.000 |
| 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
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".