Solutions analytiques de problèmes de contact en grandes déformations
Bibliographic record
Abstract
Il est impératif pour l’ingénieur de s’assurer de la validité de ses outils de modélisation numérique et il lui revient de vérifier s’ils donnent la solution attendue pour un problème donné. Dans un logiciel d’éléments-finis, ceci peut être fait par l’utilisation de solutions analytiques lorsqu’elles existent, ou par la méthode des solutions manufacturées (MSM). Nous proposons dans ce travail d’étendre la MSM aux problèmes de contact unilatéral en grandes déformations pour lesquels, à notre connaissance, il n’existe pas de solutions analytiques non triviales. Nous montrerons comment l’utiliser comme un outil de vérification pour l’ingénieur. De plus, nous analyserons la précision et les taux de convergence de différents espaces d’approximation mixtes (déplacement-pression de contact), sur des éléments triangulaires et quadrangulaires.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".