Quantification of the Settlement of an Embankment Constructed on Peat due to the Expulsion of Gases
Bibliographic record
Abstract
The mechanisms that result in the settlement of structures constructed on peat foundations have been the subject of numerous investigations. A recent study of the behavior of the peat subgrade showed that gas bubbles within the peat strongly influence the pore pressure. The thermal expansion of these gas bubbles results in an increase in pore pressure during the warmer months. The gas bubbles remain trapped until the pore pressure is sufficient to push them through the pore constrictions and toward the drainage boundary. The expulsion of the gas bubbles is followed by a sharp drop in pore pressure and a rapid change in volume. This paper presents the analysis of field data conducted to quantify the impact of this mechanism on the settlement of an embankment constructed on a peat subgrade. Measured pore pressures and deformations in the field are analyzed to show the acceleration of vertical deformation during the pore pressure drops. An approach developed from laboratory isotropic consolidation testing results is presented to correlate the magnitude of the drop in pore pressure to the corresponding volumetric strain. This correlation is then extrapolated to estimate the settlement of peat subgrade corresponding to the expulsion of gases. The results suggest that approximately 15% of the annual vertical settlement of the embankment occurs due to the cyclic dissipation of gas bubbles from the peat subgrade.
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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 | 0.001 |
| 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".