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Record W2335707893 · doi:10.2514/6.2012-1543

Industry Perspectives on Composite Structural Certification and Design

2012· article· en· W2335707893 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
FieldDecision Sciences
TopicProbabilistic and Robust Engineering Design
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsCertificationComposite numberComputer scienceManufacturing engineeringEngineeringMaterials scienceComposite materialManagement

Abstract

fetched live from OpenAlex

This paper provides industry perspectives regarding design and structural certification issues linked to application of composite materials on modern aircraft structures. Today, composite materials still offer the promised high specific strength and stiffness properties that attracted the industry to these materials decades ago, but when applied to aircraft applications, significant potential weight savings have seemingly been unrealized in modern certified aircraft. Aircraft undergo a rigorous certification process that is intended to ensure flight safety and reliability of the vehicle throughout production and service. Compliance with structural design criteria imposed by the certification process has resulted in unsurpassed airframe structural integrity and aircraft operational safety. However, in light of this industry-wide success one might question if further improvements in weight and performance are achievable (or being ‘left on the table’ so to speak). Thus, the body of this paper provides insight into (a) aspects of airframe certification-related issues that present hurdles for implementation of new composite weightand cost-saving technologies, and (b) practical areas for focused beyond-the-state-of-the-art composites research.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.758
Threshold uncertainty score0.250

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.168
GPT teacher head0.355
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