Pore-size distribution of a compacted silty soil after compaction, saturation, and loading
Bibliographic record
Abstract
Soil microstructure is an important feature that controls soil behaviour at the macroscale. This microstructure depends on the sample preparation method and evolves during saturation and loading. This paper investigates the effects of compaction water content, drying techniques adopted prior to performing porosimetry, saturation and loading on the evolution of the microstructure of a silty soil. Mercury intrusion porosimetry is used to obtain the pore-size distribution at different states of soil presenting single and double porosity. It is observed that in presence of aggregates (obtained from a compaction on the dry side of optimum), the bimodal pore-size distribution is not significantly affected by the saturation process at zero stress. This feature of behaviour is quite specific to low plasticity silty soil. Conversely, loading under saturated conditions has a more significant effect on the pore-size distribution. This bimodal distribution converges into a single mode of pore size when the stress is significantly greater than the apparent preconsolidation pressure. The observed experimental results are interpreted in the light of pore-size distribution evolution during saturation and loading.
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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".