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Record W2038049080 · doi:10.1115/imece2014-37699

Frequency Analysis of a Trailing Vortex Flow Subjected to External Turbulence

2014· article· en· W2038049080 on OpenAlexafffund
Mojtaba Ahmadi-Baloutaki, Rupp Carriveau, David S.‐K. Ting

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Acoustics in Jet Flows
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTurbulencePhysicsMechanicsChord (peer-to-peer)VortexWind tunnelWakeHorseshoe vortexAirfoilLift-to-drag ratioReynolds numberWingtip vorticesDragK-epsilon turbulence modelVortex sheddingAngle of attackLift (data mining)Wake turbulenceStarting vortexAerodynamicsVortex ringComputer science

Abstract

fetched live from OpenAlex

The frequency response of a trailing vortex downstream the free end of a NACA0015 wing section has been studied in a closed loop wind tunnel. The wing spanning approximately half height of the wind tunnel section was fixed to a dynamic load cell at the base. The flow cases studied have constant angle of attack of 10 degrees and constant Reynolds number of 160,000 based on the wing chord length while two levels of 0.5 and 4.6% free-stream turbulence were introduced to the flow. Lift and drag forces acting on the wing section were quantified using a load cell while an X-probe hot-wire was used to measure the turbulence parameters in the near-field wake region. The tip vortex was captured with sufficient accuracy. The effect of free-stream turbulence on the vortex structure has been discussed in detail by characterizing several turbulence parameters via time-averaging and frequency analysis of the turbulence signal.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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

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 head0.004
GPT teacher head0.197
Teacher spread0.193 · 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

Citations1
Published2014
Admission routes2
Has abstractyes

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