Bibliographic record
Abstract
This paper presents the findings of a study into the engineering properties of two peats from the Irish Midlands that were mixed with various binders to form a stabilized soil. The study comprised an investigation of the increase in unconfined compressive strength over time achieved using different binders for both peats and a comprehensive series of triaxial and compression tests on one peat when mixed with cement. A stabilized structure (i.e., a stabilized surface layer and a stabilized column) was tested in a large testing chamber in Trinity College to compare the laboratory parameters with those interpreted from the results of the large-scale test. The study showed that the engineering properties of the peat were considerably improved when mixed with some binders, however the degrees of improvement were markedly different for the two peats that had similar organic content. The formation of the stabilized soil structure within the testing chamber significantly reduced the amount of settlement when compared with that interpreted for the untreated soil, and the rate of consolidation was accelerated. A finite element analysis of the recorded behaviour in the large testing chamber showed good agreement between the simulated and the experimental behaviour.Key words: peat, cement, stabilization, compressibility, column.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".