Sand–rubber mixtures: Experiments and numerical simulations
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Bibliographic record
Abstract
This paper documents the results of laboratory experiments and numerical simulations conducted to examine the behavior of mixtures composed of rubber and sand particles of similar size. Emphasis was placed on assessing the role of loading type on the load-deformation behavior and selecting appropriate parameters for the discrete element modeling of sand–rubber, with relevance to the use of compressible particulate systems for filtration control. Experimental results show that sand–rubber exhibits load–unload hysteresis and residual strains post-unloading due to particle–particle and particle–wall locking effects that arise from sidewall friction. It is shown that the discrete element modeling of sand–rubber requires unconventional schemes because of the stiffness contrast between sand grains and rubber grains. The results have implications in the design of compressible particulate systems for seepage and filtration control and in the development of prediction tools for the field performance soil–rubber, which is finding increased usage in geotechnical and civil engineering infrastructures.
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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 | 0.001 |
| 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 it