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Record W2050939499 · doi:10.2514/1.j052541

Experimental Small-Amplitude Self-Sustained Pitch–Heave Oscillations at Transitional Reynolds Numbers

2014· article· en· W2050939499 on OpenAlexafffund
Dominique Poirel, V.M.F. Mendes

Bibliographic record

VenueAIAA Journal · 2014
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsRoyal Military College of Canada
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsReynolds numberAirfoilMechanicsLaminar flowAmplitudePhysicsFlow separationAngle of attackFlutterAerodynamicsClassical mechanicsBoundary layerTurbulenceOptics

Abstract

fetched live from OpenAlex

An experimental investigation of a free-mounted rigid NACA0012 airfoil in pitch–heave is conducted at transitional Reynolds numbers. Previously, small-amplitude self-sustained oscillations in pure pitch were observed for a specific range of Reynolds numbers: . They were attributed to laminar boundary-layer separation, which leads to negative aerodynamic damping at a 0 deg angle of attack. In this phase of the research, the investigation is extended to 2 deg of freedom by enabling the heave motion. Depending on initial conditions, two competing stable limit-cycle oscillations, small and large, are observed. It is determined that the origin of the large-amplitude limit-cycle oscillations is coalescence flutter for which the exponentially growing amplitude is limited by flow separation at large angles of attack. On the other hand, the small-amplitude oscillations are the same laminar separation flutter type as the pitch-only case. For the most part, the heave motion plays no fundamental role in the dynamics, as the amplitude of the pitch oscillations is not drastically affected in comparison with the single-degree-of-freedom pitch-only case nor is the range of Reynolds numbers at which the limit-cycle oscillations are observed. Nonetheless, the heave motion contributes to the net transfer of energy from the flow to the structure, as the mean kinetic energy present in the oscillations is increased significantly compared to the pitch-only case.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.006
GPT teacher head0.197
Teacher spread0.191 · 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 designBench or experimental
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

Citations47
Published2014
Admission routes2
Has abstractyes

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