A modified state parameter for identifying flow liquefaction in aeolian sand
Bibliographic record
Abstract
Static liquefaction is when sandy soils lose shear strength and deform rapidly under undrained shearing. This phenomenon has three undrained responses: flow, limited flow, and non-flow (not liquefied). Among them, flow is the most dangerous, marked by complete strength loss and significant deformation. Thus, recognising flow liquefaction is crucial in interpreting liquefaction behaviours. Aeolian sand, which has low fine content, non-cohesion, and poor size distribution, was found to be highly liquefiable and hence was used to explore the liquefaction characteristics by way of undrained triaxial tests with different initial stresses and void ratios. The experimental results showed an obvious effect of stress on the flow behaviour of liquefaction in aeolian sand. A modified state parameter corrected by critical mean effective stress and void ratio was introduced to consider the stress effect. It was proved to identify the flow behaviour on aeolian sand successfully, based on the value of the modified state parameter. A state-dependent hardening plasticity model, incorporating the modified state parameter, was introduced. This model effectively simulates undrained triaxial tests on aeolian sand, accurately capturing all behaviour types: flow, limited flow, and non-flow responses.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".