New insight on geosynthetic clay liner hydration: the key role of subsoils mineralogy
Bibliographic record
Abstract
The hydration of a needle-punched, thermally treated and powdered bentonite-based geosynthetic clay liner (GCL) from four different subsoils was studied at optimum moisture content +2% under isothermal conditions. Contrary to the belief that GCL hydration was strongly dependent on the percentage of clay-sized particles present in the subsoils, it was shown in this investigation that this dependency cannot be generalised to all subsoil types as the presence of smectite in the subsoils can substantially impact GCL water uptake. Smectite content of the subsoil has been found to enhance its water retention capacity, and therefore the relative amount of water available in the subsoil for hydration of the GCL was strongly dependent on the amount of smectite available in the subsoil (i.e., GCL water absorption from smectite-rich soils is impeded). The hydration process from subsoils dominated by smectite mineralogy was governed by the vapour phase, whereas when the smectite content was very low or nil the hydration process involved both vapour and liquid phases if the subgrade was at a water content close to optimum.
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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".