Implementation of a New Strain Softening Constitutive Model in the Material Point Method for the Simulation of Retrogressive Failure in Sensitive Clays
Bibliographic record
Abstract
Sensitive clays experience significant strain-softening behavior, that is, when subjected to large strains. They disintegrate into a remolded liquid with diminutive shear strength. When a slope begins to fail, the remolded clay keeps moving away from its original position causing subsequent failures, resulting in catastrophic aftermath. The capability to reproduce realistic strain-softening characteristics in the constitutive soil model is necessary for more accurate numerical slope analyses in sensitive clays. This paper illustrates a simple yet practical constitutive model specially developed for simulating the strain-softening behavior of sensitive clays. The model is then implemented in Anura3D, an open-source software that uses the material point method to simulate large deformations. The model is tested using the failure of a previously occurred retrogressive failure in sensitive clay. Finally, the model’s predictions have been compared with the actual post-failure run out of the landslide, and the results show that the model is reasonable and practical.
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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".