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Record W827199750 · doi:10.1520/stp38420s

Assessment of Damage in a Unidirectional Off-axis Carbon-Epoxy Composite Under Cyclic Loading

2003· book-chapter· en· W827199750 on OpenAlexaff
LK Sorenser, A. Plumtree

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicMechanical Behavior of Composites
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsEpoxyComposite numberComposite materialMaterials scienceCarbon fibers

Abstract

fetched live from OpenAlex

Cyclic tests were conducted on unidirectional HTA/6376 specimens in order to isolate and describe the degradation of an off-axis composite, resulting in matrix dominated failure. Specimens were loaded at 45° to the fibre axis and tested first under quasi-static conditions and then under tension-tension fatigue. Resulting stress-life curves for the 45° off-axis carbon fibre-reinforced epoxy were shallow, resulting in a large amount of scatter. Damage was monitored using strain gauge rosettes in the loading and transverse directions, as well as perpendicular to the fibres. Hysteresis loops were described by different definitions of modulus and strain accumulation, thus providing models based on dynamic, cyclic creep and total fatigue damage. Although the cyclic creep model described damage, including that in the first cycle, the total fatigue modulus is preferred based on its ability to collapse all damage curves into one. Use of this master curve permits accurate prediction of fatigue lives.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.881
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 integrity0.0000.001
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 head0.018
GPT teacher head0.252
Teacher spread0.234 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations3
Published2003
Admission routes1
Has abstractyes

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