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Record W2810229725 · doi:10.4050/f-0074-2018-12885

Substantiation by Analysis for Fatigue Tolerance in Bell 525 Metallic Components

2018· article· en· W2810229725 on OpenAlexaff
Stephen J. Savage

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMechanical Engineering and Vibrations Research
Canadian institutionsBell (Canada)
Fundersnot available
KeywordsFuselageStructural engineeringFinite element methodComponent (thermodynamics)Rotor (electric)PylonStress (linguistics)Displacement (psychology)EngineeringComputer scienceMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

The Bell 525 main rotor Pylon Bipod Mount is a flight critical structural component that must meet the fatigue tolerance requirements of §29.571. The complex flight load environment of the Pylon Bipod Mount involves coupling the rotor loads to the fuselage through interactions that factor roof beam displacement and the unique stress state induced by the elastomeric inner member of the Bipod. Simulating the full flight load structural response of the Bipod in a physical component test is not only extremely time consuming but also runs the risk of being inaccurate. As an alternative, an experimentally correlated finite element model is used to analyze the Bipod under the flight load environment. The approach incorporates the installation stress on the Bipod induced by its elastomeric component. The associated finite element models will be validated using state of the art experimental techniques of strain survey/mapping. Results from the correlated analytical models will be further evaluated per approved regulatory criteria to substantiate the Bipod's fatigue life and demonstrate fatigue tolerance per §29.571.

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 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: none
Teacher disagreement score0.733
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.045
GPT teacher head0.290
Teacher spread0.245 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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
Published2018
Admission routes1
Has abstractyes

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