Effects of Grain Shape Angularity on Cohesive Strength in Sheared Granular Media
Bibliographic record
Abstract
Abstract Using extensive Contact Dynamics simulations, we present a systematic analysis concerning the effects of particle shape angularity on the quasi-static shear strength properties of cohesive granular packings under biaxial conditions for various confining stresses σ 0. We consider irregular polygons with an increasing number of sides, ranging from triangles to discs. The packings behavior depends on the dimensionless Cohesive Index η = f 0/(σ 0 d), where f 0 is the contact adhesive force and d is the mean grain diameter. η is varied between 0 (dry) to 0.6 (strongly cohesive) by varying σ 0. We find that the macroscopic friction angle increases with grain angularity and saturates at larger angularity, as in the dry case. In contrast, the cohesive strength is an increasing function of grain angularity. Our results contribute to a better understanding of the effects of grain shape on the behaviour of cohesive granular materials, by complementing a number of results obtained mainly in the dry case.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".