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Record W2333840830 · doi:10.2514/6.2001-1432

Aircraft loads methodology for MDO

2001· article· en· W2333840830 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

Venue19th AIAA Applied Aerodynamics Conference · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced Aircraft Design and Technologies
Canadian institutionsBombardier (Canada)
Fundersnot available
KeywordsComputer scienceAerospace engineeringAeronauticsEngineering

Abstract

fetched live from OpenAlex

A methodology is presented for developing a complete set of aircraft loads to be used in the structural optimization of an aircraft wing during preliminary design. Using the software program ASTROS as the platform, a typical mid-size 100+ seat passenger aircraft was selected as the subject of the study. The methods are used in the design of a wing box optimally for minimum weight. This is accomplished while simultaneously evaluating the applied loads on the structure, including aerodynamic loads that account for the structural flexibility. The procedures make use of a finite element model of the complete aircraft, and have the additional benefit of producing a complete set of loads for the wing. The mass distributions (payload, fuel, etc.) are adjusted to produce the critical inertia for each load case. The loads are consistent (not envelope) and comprise flight, landing, ground handling, and gust conditions. The load levels of limit, ultimate and fatigue are all considered simultaneously for the optimization process, to which the appropriate design conditions are applied.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.752
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.276
Teacher spread0.230 · 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