Prediction of compressibility and shear strength behaviour of in-situ cohesive soil from reconstituted clay
Bibliographic record
Abstract
In the present study, simplified sample preparation and testing methodology are proposed for reconstituted clay that can predict the strength and deformation behavior of its in-situ state with minimal sample preparation disturbances. Reconstituted clay specimen was prepared in designed mould for each disturbed sample. Later, predetermined proportions of admixtures were mixed to vary the liquid limits. The test results showed that the change in compression index is directly proportional to the change in the liquid limit, moisture content, and the initial void ratio of the soil samples. However, the change in angle of internal friction was inversely proportional to the liquid limit, plasticity index, and clay fraction percentage. Scanning electron microscopy tests provided in-depth insight on the comparable pore and clay flake sizes. The proposed empirical relationships from the test results could reasonably estimate the compressibility and shear strength behavior of the in-situ clay soil from the basic index properties.
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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 | 0.001 | 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) | 0.000 | 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".