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Record W4283208372 · doi:10.2514/6.2022-3936

Free-Size Optimization of a Stiffened Panel Using Equivalent Radiated Power

2022· article· en· W4283208372 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

VenueAIAA AVIATION 2022 Forum · 2022
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsFuselageEffective radiated powerSound powerAcousticsBroadbandPower (physics)Power optimizationReduction (mathematics)Range (aeronautics)Computer scienceEngineeringSound (geography)Electrical engineeringStructural engineeringAerospace engineeringTelecommunicationsPhysicsMathematicsAntenna (radio)

Abstract

fetched live from OpenAlex

View Video Presentation: https://doi.org/10.2514/6.2022-3936.vid Acoustic performance is not typically considered during the structural design of an aircraft fuselage, however the noise transmitted by the fuselage during flight can contribute to passenger discomfort. Structural-acoustic optimization approaches have been presented in research, but there is limited implementation in commercial design optimization software. This work investigates equivalent radiated power optimization in Altair OptiStruct as a means of indirectly minimizing radiated sound power over a broadband frequency range. Radiated sound power theory is reviewed and a methodology is presented for free-size optimization for equivalent radiated power. The proposed approach is applied to the design of chemical-milled pockets of a stiffened panel, ultimately achieving a small reduction in sound power compared to five other pocket designs. Further exploration is needed to conclude if equivalent radiated power optimization can achieve a meaningful reduction in sound power.

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 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: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.998

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)0.0030.000

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 head0.023
GPT teacher head0.240
Teacher spread0.217 · 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