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Record W2322363495 · doi:10.2514/6.2015-3291

Parametric Study of Box-Wing Aerodynamics for Minimum Drag Under Stability and Maneuverability Constraints

2015· article· en· W2322363495 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

Venue33rd AIAA Applied Aerodynamics Conference · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced Aircraft Design and Technologies
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsAerodynamicsDragParametric statisticsWingAerodynamic dragAerospace engineeringStability (learning theory)Zero-lift drag coefficientLongitudinal static stabilityComputer scienceLift-induced dragWave dragControl theory (sociology)EngineeringMathematicsArtificial intelligence

Abstract

fetched live from OpenAlex

Box-wings are a subset of nonplanar wing designs which have shown promise as a configuration for future transport aircraft. This configuration has been the subject of several studies seeking to determine the optimal wing configuration. However there is uncertainty as to the sensitivity of the wing’s aerodynamic performance, represented as a lift to drag ratio, to changes in some of the its geometric parameters. Specifically, the effects of the stream-wise stagger and the relative area of the two wings are not clear. This study seeks to identify the trends in aerodynamic performance as these parameters are varied while enforcing critical design constraints. Three such constraints are considered: the ability to maintain inherent static stability at cruise, the ability to perform a maneuver without stalling, and the ability to generate sufficient lift to support the aircraft at cruise conditions. A better understanding how the design parameters affect the aerodynamic performance of feasible box-wing designs will provide a better understanding of the sensitivities of such designs and will enable more meaningful analysis of the results from more comprehensive multidisciplinary studies.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.047
GPT teacher head0.261
Teacher spread0.213 · 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