Three-dimensional rheological model for double-yield surface based on equivalent time
Bibliographic record
Abstract
In order to describe shear contractibility, dilatancy and rheological properties of soils, Yin-Graham’s equivalent time method is used to derive a three-dimensional rheological model for double-yield surface. Firstly, Yin-Graham’s three-dimensional rheological equation is used as the first yield surface rheological equation reflecting the shear-contraction mechanism. Secondly, Matsuoka-Nakai yield criterion is used as the second yield surface reflecting the dilatancy mechanism, viscoplastic work is used as hardening parameter and the non-associated flow rule is adopted, the stress-viscoplastic work-time relationship is proposed using Mesri’s modeling idea, stress-viscoplastic work-viscoplastic work rate relationship is obtained according to the equivalent time method, and the second yield surface three-dimensional rheological equation is established under Perzyna’s over-stress theory. Again, according to the theory of double-yield surface model, a three-dimensional rheological model of double-yield surface is proposed by combining the two rheological equations. The classical fourth-order Rung-Kutta method is used to compile the difference calculation program, and the numerical solution of the rheological model is obtained. Finally, the predictions are compared with the measured values by using triaxial consolidation undrained rheological test data of Canadian bentonite and remoulded Hong Kong marine deposits to verify the applicability of the model in rheological tests. The results show that the model can simulate the development process of multi-stage and single-stage loading in undrained rheological tests, and can reflect dilatancy and shear contractibility of soils.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".