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Record W2238982213

A review of a fatigue failure with aircraft engine nacelle components

2013· review· en· W2238982213 on OpenAlexaff
David Millar, N.S. Ferguson

Bibliographic record

VenueePrints Soton (University of Southampton) · 2013
Typereview
Languageen
FieldEngineering
TopicVehicle Noise and Vibration Control
Canadian institutionsBombardier (Canada)
Fundersnot available
KeywordsNacelleTurbopropEngineeringTurbojetTurbineFinite element methodStructural engineeringGas turbinesNoise (video)Jet engineAero engineFatigue testingTurbofanAcousticsAutomotive engineeringMechanical engineeringComputer sciencePhysics
DOInot available

Abstract

fetched live from OpenAlex

The paper discusses some of the fatigue problems observed in-service with components on aircraft engine nacelles. Acoustic fatigue (or sonic fatigue) has been an issue with nacelle components given the proximity of the structure to the high intensity noise generated by the fan on modern high bypass ratio gas turbine aircraft engines. Reference is made to test measurements – both full scale engine testing and sub-element component testing. Theoretical result predictions using finite element models are summarised and compared with the test measurements. The dynamic stiffness method is also used to predict the fundamental frequency and strain response and shows good agreement with test data.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.003

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 head0.031
GPT teacher head0.226
Teacher spread0.196 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2013
Admission routes1
Has abstractyes

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