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Record W2012651146 · doi:10.3166/acsm.34.313-323

Adoucissement par fatigue d’un élastomère SBR chargé à 50% de noir de carbone en cisaillement pur avec trou

2009· article· fr· W2012651146 on OpenAlexvenueno aff
Taoufik Nasri, Mustapha Nasri

Bibliographic record

VenueAnnales de Chimie Science des Matériaux · 2009
Typearticle
Languagefr
FieldEngineering
TopicMechanical stress and fatigue analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials sciencePhysics

Abstract

fetched live from OpenAlex

En fatigue des elastomeres, le module de rigidite apparent decroit en fonction du nombre de cycles. Comme phenomene physique, il a ete etabli que pendant chaque cycle, il y a une dissipation d'energie elastique generee par le frottement entre les chaines macromoleculaires a l'echelle de la microstructure de l'elastomere. Cette energie est d'ailleurs en chute permanente durant le chargement cyclique jusqu'a la rupture d'une eprouvette. Ceci engendre une diminution de la rigidite apparente lors d'un chargement cyclique. Dans ce travail nous presenterons une demonstration experimentale et phenomenologique de la chute de la rigidite apparente au cours d'un chargement cyclique en cisaillement pur avec trou. Ensuite nous developperons une relation analytique entre la rigidite apparente et l'endommagement de l'eprouvette.

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)0.001
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.000

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 head0.024
GPT teacher head0.268
Teacher spread0.244 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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Same venueAnnales de Chimie Science des MatériauxSame topicMechanical stress and fatigue analysisFrench-language works237,207