Impact of initial state on the fabric and permeability of a lime-treated silt under long-term leaching
Bibliographic record
Abstract
The long-term performance of lime-treated soil is still in question, especially in the case of the use of such soils to build earthen structures in permanent contact with water (i.e., dams, river levees, etc.) Indeed, water circulation may induce significant alteration of the improvements brought by the lime treatment. In this context, the main objective of this work is to study the long-term behaviour (durability) of lime-treated soils submitted to water circulation as well as to determine the most favourable initial soil compaction in terms of lime-treated soil durability. First, the impact of lime addition on soil microstructure is investigated with mercury intrusion porosimetry tests. This was done to highlight the effect of curing time, lime dosage, and compaction on soil initial permeability, a critical parameter in terms of long-term behaviour of the lime-treated soil. Then, lime-treated soil samples were submitted to an accelerated circulation of water over a period of 150 days. The obtained results show that soil permeability did not fluctuate with circulation time. This has been confirmed by the results obtained on the samples’ microstructure that remained stable throughout the experiments.
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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 | 0.001 |
| 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".