MétaCan
Menu
Back to cohort
Record W2529302217 · doi:10.3166/rcma.23.51-67

Vieillissement thermique d’un jonc composite carbone/époxy. Analyse de l’endommagement et ses conséquences sur les propriétés mécaniques

2013· article· fr· W2529302217 on OpenAlexvenueno aff
Maéva Serror, Xavier Colin, Jean-François Larché

Bibliographic record

VenueRevue des composites et des matériaux avancés · 2013
Typearticle
Languagefr
FieldEngineering
TopicFiber-reinforced polymer composites
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceconsHumanitiesPhilosophyComputer science

Abstract

fetched live from OpenAlex

Le vieillissement thermique d’un jonc composite carbone/époxy a été étudié dans l’air entre 160 et 220 °C par tomographie X, microscopie optique et flexion trois points. La thermo-oxydation de la matrice affecte une couche superficielle trop fine pour pouvoir altérer les propriétés mécaniques. La thermolyse de la matrice est donc le principal mode de dégradation. Elle conduit à la formation de longs microcanaux parallèles aux fibres dans les régions les plus riches en matrice du cœur du jonc. Leur multiplication et leur coalescence entraînent une chute progressive du module d’élasticité et, dès que le taux de porosité atteint une valeur critique de l’ordre de 3,6 %, une chute catastrophique de la contrainte à rupture. Sur la base de ces résultats, des équations reliant l’évolution des propriétés mécaniques à des critères d’endommagement dérivés du taux de porosité ont été établies.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.264
Teacher spread0.226 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueRevue des composites et des matériaux avancésSame topicFiber-reinforced polymer compositesFrench-language works237,207