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Record W2765747723 · doi:10.1115/detc2017-67365

Computational Modal Analysis of a Twin-Engine Rear Fuselage Mounted Aircraft Support Frame

2017· article· en· W2765747723 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldDecision Sciences
TopicProbabilistic and Robust Engineering Design
Canadian institutionsQueen's University
FundersEuropean Social FundNatural Sciences and Engineering Research Council of Canada
KeywordsFuselageModal analysisModalDiagonalFrame (networking)Focus (optics)Structural engineeringComputer scienceAcousticsEngineeringFinite element methodMechanical engineeringMathematicsMaterials sciencePhysicsGeometry

Abstract

fetched live from OpenAlex

The focus of this investigation was to computationally determine the vibrational characteristics of a rear fuselage mounted aircraft engine support frame. A pseudo-orthogonality check was performed to compare the computational results with experimental data. This produced a matrix with 8 modes with diagonal terms >0.9. Structural modifications were made to the computational model of the frame in order to decrease the modal density near the blade pass frequency of the engine at cruise conditions. Two independent modifications to the frame decreased the modal density within 1% of the critical engine frequency from seven to five and four respectively. It was shown that the modifications produced non-intuitive results, as each modification had a different significance in terms of how it affected each mode of the system. It is recommended that computational analysis be performed on similar structures before such modifications are put in place, as there is low predictability of how different modifications will affect the modal properties of the system.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.852
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.069
GPT teacher head0.366
Teacher spread0.297 · 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