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Record W2050935084 · doi:10.2514/1.c032295

Nature of Freeplay-Induced Aeroelastic Oscillations

2014· article· en· W2050935084 on OpenAlexaff
Denis Kholodar

Bibliographic record

VenueJournal of Aircraft · 2014
Typearticle
Languageen
FieldEngineering
TopicAeroelasticity and Vibration Control
Canadian institutionsBombardier (Canada)
Fundersnot available
KeywordsAeroelasticityAerodynamicsControl theory (sociology)StiffnessNonlinear systemPreloadAerodynamic forceBifurcationMechanicsStructural engineeringMathematicsEngineeringPhysicsControl (management)Computer science

Abstract

fetched live from OpenAlex

Time- and frequency-domain analyses are used to revisit a well studied case of an aeroelastic wing with control-surface freeplay nonlinearity. The dynamic response in general is presented as dependent on the stability of two linear systems, with zero and nominal control-surface rotational stiffness, and values of two angles, freeplay and preload. The principal new findings include the following. A physical explanation is given to the bifurcation airspeeds and frequencies of the oscillations for the system with both zero and nonzero aerodynamic preload of the control surface. For the latter and more complex case, it is shown and explained why a certain amount of the preload is not only always destabilizing but may also be the reason for the otherwise unexpected higher-frequency oscillations. A conclusion thus is drawn that the aircraft control-surface freeplay analyses based only on zero and high quenching aerodynamic preloads are nonconservative. All results are compared with the experimental and other published theoretical analyses for the considered model. Finally, a suggestion is given for future experiments with a goal to observe the response changes with the preload and to determine the stabilizing control-surface hinge moment.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.005
GPT teacher head0.206
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), 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

Citations28
Published2014
Admission routes1
Has abstractyes

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