MétaCan
Menu
Back to cohort
Record W2507733234 · doi:10.1177/096739110401200403

Durability of Glass-Fibre Reinforced Polymer Composites in Aqueous and High Temperature Environments

2004· article· en· W2507733234 on OpenAlex

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

VenuePolymers and Polymer Composites · 2004
Typearticle
Languageen
FieldEngineering
TopicMechanical Behavior of Composites
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsImmersion (mathematics)Composite materialMaterials scienceDistilled waterEpoxyAbsorption of waterDurabilityMoistureAqueous solutionPolymerChemistry

Abstract

fetched live from OpenAlex

In this investigation glass-fibre/epoxy-resin laminates with [±45, 90 3 ] s lay-ups were immersed in distilled water at different temperatures. In particular, three sets of coupon specimens were exposed for about 2 years to varying histories consisting of dry conditions or immersion-dry-out-and-re-immersion treatments, while keeping the temperature constant for each set. Moisture absorption behaviour and the effect of the environment and temperature on the mechanical properties were determined. It was found that there was a strong synergy between temperature and environment. Immersion in distilled water at ambient temperature did not affect the mechanical properties, on the contrary, it increased the threshold strain to crack initiation. However, specimens immersed at T>50°C showed deterioration in all respects. Exposure to cycles of wet and dry conditions at high temperatures were the most damaging environment. The underlying damage mechanisms and microscopic causes leading to the deterioration of the mechanical properties are discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.005
GPT teacher head0.191
Teacher spread0.187 · 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