Measurement of cyclic response of railway embankments and underlying soft peat foundations to heavy axle loads
Bibliographic record
Abstract
This paper presents the deformation and pore-water pressure response within peat foundations below three different railway embankments in response to cyclic heavy axle loading. The study sites include two at Canadian National (CN) Railway's Edson and Lac-La-Biche subdivisions in northern Alberta, and one at CN′s Lévis subdivision in southeastern Quebec. The three sites were instrumented to monitor the spatial distribution of strain, pore pressure generation, and stress, and the distribution of horizontal cyclic displacement with depth during the passage of trains. The horizontal cyclic displacement with depth was measured using a ShapeAccelArray (SAA). An analysis was conducted to determine how close the peat is to yielding under heavy axle loads. This analysis was based on the elastic response determined from undrained triaxial testing, a constitutive model developed for peat, and finite element modelling. The field response and the numerical modelling suggest that the embankments at the northern Alberta sites are stable under current loading conditions. The highest potential for yielding at these sites occurs just beneath the embankment and at the interface between the peat and underlying stiffer soil. At the Lévis site the analysis suggests that a recently constructed ditch concentrates shear stress at a location where the principal stress orientation corresponds to a reduced strength of peat and may have increased the potential for yielding.
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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".