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Record W4245438939 · doi:10.22215/etd/2017-12186

Environmental Degradation of Carbon Fibre-Reinforced Epoxy Composites: An Experimental Investigation

2017· dissertation· en· W4245438939 on OpenAlexafffund
Jeffrey Carette

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicMechanical Behavior of Composites
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of CanadaFederal Aviation AdministrationU.S. Department of Transportation
KeywordsEpoxyMaterials scienceComposite materialEthylene glycolDegradation (telecommunications)Flexural rigidityChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Work presented herein investigates the chemically-induced degradation of a carbonfibre reinforced epoxy. Monolithic coupons were conditioned from either single-sided exposure to, or complete immersion in one of five fluids; turbine oil, hydraulic fluid, ethylene glycol, deionized water or ocean water. At predefined intervals, coupons were removed from conditioning; subjected to evaluation of mass, dimensions and hardness; and destructively tested, analyzing either flexural properties or short beam strength. Secondary testing, including microscopy, x-ray micro-computed tomography and thermal analysis, was performed to further characterize degradation.

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 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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.016
GPT teacher head0.247
Teacher spread0.231 · 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 teacher head, not a consensus.

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
Published2017
Admission routes2
Has abstractyes

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