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Record W2334124314 · doi:10.2514/6.2002-4714

Hysteresis and Bifurcation Analysis of A Fighter and A Delta Wing at High Incidence

2002· article· en· W2334124314 on OpenAlexaff
Xudong Huang, E. Hanff

Bibliographic record

VenueAIAA Atmospheric Flight Mechanics Conference and Exhibit · 2002
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsDelta wingBifurcationAngle of attackMechanicsControl theory (sociology)VortexWingHysteresisAttractorPhysicsMathematicsAerodynamicsMathematical analysisThermodynamicsNonlinear systemComputer scienceCondensed matter physics

Abstract

fetched live from OpenAlex

Hysteresis and bifurcation analysis has been performed on experimental results of a fighter in steady coning motion and a delta wing in free-to-roll motion. There are bi-stable asymmetric solutions for the fighter at high incidence. Applying certain perturbations or changes in coning rate can switch over the forebody vortices from one stable solution to another and result in corresponding lateral-directional aerodynamic loads. The basins of those two solutions are not equal. Both the angle of attack and coning rate are found to be control variables in the bifurcation behavior of the forebody vortices. When the coning rate is higher than a threshold value, definitive hysteresis characteristics can be observed. The threshold rate increases as the angle of attack increases. In the case of a delta wing model, the solution of the system exhibits different bifurcation structures over the investigated range of angles of attack and release roll angles, reflecting the experimentally obtained multiplicity of roll attractors. These bifurcation and hyteresis characteristics have been physically explained in the domain of asymmetric cross-flow separation and the vortex breakdown movement respectively.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score0.738

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 studies0.0000.000
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 head0.008
GPT teacher head0.178
Teacher spread0.170 · 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

Citations4
Published2002
Admission routes1
Has abstractyes

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