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Record W2102362241 · doi:10.1051/meca/2010032

Solutions analytiques de problèmes de contact en grandes déformations

2010· article· fr· W2102362241 on OpenAlex
Éric Chamberland, A. Fortin, Nicolas Tardieu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMécanique & Industries · 2010
Typearticle
Languagefr
FieldComputer Science
TopicContact Mechanics and Variational Inequalities
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPhilosophyPhysics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.880
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.057
GPT teacher head0.296
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it