An extended yield surface model for predicting the elastoplastic behaviours of unsaturated soils
Bibliographic record
Abstract
Several investigators have proposed constitutive relationships in the literature for modelling the elastoplastic behaviours of unsaturated soils extending either the effective stress concept or the independent stress state variables approach. However, a unified model that can be used for predicting various types of loading collapse curves for unsaturated soils is still lacking in the literature. To address this objective, a loading collapse model that can be expressed extending either the effective stress concept or the independent stress state variables approach is proposed in this paper. The proposed model is flexible that can model various types of loading collapse curves for unsaturated soils. More importantly, the model has clear physical meanings of parameters that are consistent with the classical terminology used in literature. The performance of the proposed model is validated using the published experimental results from the literature considering different scenarios. The proposed elastoplastic framework is a promising tool for modelling the complex hydro-mechanical behaviours of unsaturated soils.
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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".