A Study on Fines Content Affect the Static and Dynamic Resistances Based on Inter-granular Void Ratio
Bibliographic record
Abstract
Traditionally global void ratio is well known for judging the soil density and engineering behavior for cohesionless soils. However the presence of fines particles, global void ratio is not enough to explain the behavior. In the study, we investigated the influence of fines on the static and dynamic resistance of silty sands by experimental way. In addition, the testing results were further analyzed with accompanied intergranular void ratio concept. For completing the goals, an experimental program was undertaken. A series of cyclic CU tests and static CD tests were performed, and two types of sands such as Kaohsiung river sands and Ottawa sands were adopted for comprehensive study. Because fines particles exist, the experimental results indicate that the cyclic resistance and static shear strength decrease with increasing fines content. Since global void ratio seems not to describe the strength of silty sands with grain fines, intergranular void ratio modified and identified in the study has a good explanation.
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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) | 0.000 | 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) | 0.001 | 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".