Meso-scale modeling of granular material including grain fracture using grain morphology
Bibliographic record
Abstract
This study focuses on a meso-scale approach to numerical simulations of a granular material subjected to quasi-static loadings. The discrete grains used in this approach are comprised of finite elements that capture the microscale stress distribution within individual grains. In addition, the discrete grain topology is formed from the actual grain surface morphology, captured using X-ray tomography, which allows for more accurate characterization of the contact interaction between particles compared with idealized grain packing with simple shapes. The effects of selected finite element formulations and grain discretization approaches are investigated to maximize the ability to capture high-stress concentrations at contact points between grains, where fracture is likely to initiate, yet maintain computational efficiency. Simulations of uniaxial and triaxial compression quasi-static loadings of -Ottawa sand specimens are performed with an FE/FD code, GEODYN-L. The influence of including granular in the numerical simulations is also examined.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".