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Cyclic Damage Evolution in Polymer Matrix Composites

2009· article· en· W2083380423 on OpenAlex

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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

VenueKey engineering materials · 2009
Typearticle
Languageen
FieldEngineering
TopicMechanical Behavior of Composites
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceComposite materialModulusCoalescence (physics)Damage mechanicsComposite numberCrackingEpoxyStructural engineeringFinite element method

Abstract

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Damage mechanics has been applied to describe the cyclic behaviour of glass fibre-polyester and carbon fibre-epoxy composites with different lay-ups under various loading conditions. Damage evolution was determined by continually monitoring fatigue modulus degradation and measuring the crack density. These methods complemented each other. They showed that the damage could be separated into two stages. Damage evolved rapidly for the first 10% of life, followed by a more gradual and linear accumulation for the remainder of life. In general, the transition from the first to the second stage indicated a change from transverse matrix cracking to fibre-matrix debonding and coalescence. Damage mechanics was applied to the fatigue modulus changes that occurred in the stress-strain hysteresis loops, monitored throughout life. A two-stage model was applied to express damage evolution using the modulus- and crack-based damage parameters. This model successfully described cyclic damage evolution for different lay ups of the PMCs. The significance of which was that the amount of fatigue damage for any stress level at the end of the initial stage could be used to accurately predict fatigue life and construct a stress-life diagram for the given composite

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 score0.041
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 head0.006
GPT teacher head0.215
Teacher spread0.209 · 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