étude multi-échelle du comportement mécanique des composites tissés satin de 5. Exemple du carbone/PEEK
Bibliographic record
Abstract
Cet article porte sur la modélisation multi-échelle des composites tissés satin de 5 et plus particulièrement sur le cas du carbone/PEEK. L'objectif est de pouvoir prédire, à partir des calculs d'homogénéisation sur un élément de volume représentatif (VER), le comportement mécanique macroscopique du matériau sain, le type et la localisation des différents endommagements se produisant dans le matériau. Les résultats montrent une bonne corrélation avec les résultats expérimentaux et démontrent clairement le rôle joué par l'ondulation des mèches dans l'abattement des propriétés mécaniques des tissus par rapport aux UD. Ils montrent également que la fissuration des mèches transverses serait le premier défaut à se manifester. Enfin, les VER à deux plis mettent en évidence l'influence des paramètres procédés tels que l'empilement en phase ou hors phase des plis sur les propriétés mécaniques.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".