Influencia de las características físicas en el comportamiento mecánico de los suelos granulares
Bibliographic record
Abstract
El objetivo de esta investigación es determinar cómo influyen las características físicas de los materiales granulares en su comportamiento mecánico. Para este caso se eligieron dos arenas nacionales las cuales son Guamo y Guayuriba y otra internacional que es Ottawa. Partiendo desde los ensayos de caracterización física se obtienen resultados de Cu, Gs, emin, emax, ρmin y ρmax, para determinar su efecto en los parámetros de resistencia, resultantes del ensayo de corte directo en condición consolidada drenada. La campaña experimental consta de 27 ensayos realizados a las 3 arenas para los esfuerzos verticales de 50 kPa, 100 kPa y 200 kPa con densidades relativas de 30%, 60% y 90% y una velocidad de corte de 1.0 mm/min. De esta manera se encontró la relación directa entre los valores físicos de ρr y las variables correspondientes a la resistencia al esfuerzo cortante máximo de (tmax), de ángulo de fricción (ϕ) y de cohesión.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".