Undrained Pore Pressure Prediction in Clayey Soil under Cyclic Loading
Bibliographic record
Abstract
Prediction of pore-water pressure is important for understanding the behavior of soils under both static and cyclic loading and also for estimation of their effective stresses. Undrained cyclic pore pressure models available in the literature are for some typical soils and are hardly applicable for other soils. In this paper, a generalized hyperbolic model for prediction of undrained pore-water pressure has been proposed as a function of cyclic stress ratio, frequency, and plasticity of soils using data reported by a number of researchers. The proposed model has been validated by a chi-square goodness-of-fit test. The correlation between the predicted and measured pore pressure ratio at various confining pressure regimes has also been statistically examined to discern the model. The model output has been found to be correlated to an extent of up to 85% with the literature data.
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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 | 0.001 | 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 | 0.001 |
| 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".