MétaCan
Menu
Back to cohort
Record W2732475084 · doi:10.4050/f-0073-2017-12173

Development of Allowables for Composite Wrinkles

2017· article· en· W2732475084 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Analysis and Optimization
Canadian institutionsBell Helicopter Textron (Canada)
Fundersnot available
KeywordsComposite numberComputer scienceMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Wrinkles in composite structure have been a source of concern since the first structural laminates were developed. Identified as out of plane distortions in the fibers of composite laminates, wrinkles are known to dramatically reduce laminate strength. To address these issues, an experimental investigation was undertaken to determine the critical characteristics of wrinkles as related to the static strength of composites. The critical characteristics include wrinkle type, wrinkle aspect ratio, and wrinkle depth. Resulting characterizations were used to determine design allowables for further analysis of discrepant parts. This work also investigated the interlaminar failure mechanisms of two types of wrinkles (outward and inward) and found static tension and inter-laminar tension are critical to failure initiation and propagation. Finite Element Modeling was used to show that numerical methods could predict these types of wrinkle-induced failure mechanisms.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score0.097

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 head0.019
GPT teacher head0.234
Teacher spread0.215 · 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

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicStructural Analysis and OptimizationFrench-language works237,207