Modelling the Settlement Behaviour of In Situ Shallow Foundations in Unsaturated Sands
Bibliographic record
Abstract
A methodology has been proposed recently by Oh and Vanapalli (2011a) to simulate the applied stress versus settlement (SVS) behavior of model footings in unsaturated sands extending finite element analysis (FEA) using an elastic-perfectly plastic model. The analyses were performed assuming soil profile as a single layer with average matric suction value (i.e. constant total or apparent cohesion and initial tangent elastic modulus). In the present study, this methodology has been extended successfully to simulate the SVS behaviours of in-situ footing (B x L = 1 m x 1 m) load tests (FLT) results in unsaturated sand. In addition, the influence of matric suction with respect to the total cohesion, the initial tangent elastic modulus, and the Poisson's ratio on SVS behaviours is also investigated.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".