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Record W2071315133 · doi:10.1115/fedsm2009-78018

Temporal Development of the Wake of a Non-Impulsively Started Circular Cylinder

2009· article· en· W2071315133 on OpenAlexaff
Nelson Tonui, David S. Sumner

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsWakeCylinderParticle image velocimetryMechanicsReynolds numberAccelerationEddyPhysicsTowingVorticityDimensionless quantityGeometryClassical mechanicsVortexMathematicsMarine engineeringTurbulenceEngineering

Abstract

fetched live from OpenAlex

Flow around a circular cylinder “impulsively” set into motion was investigated experimentally using the particle image velocimetry (PIV) technique. The experiments were conducted in water in an X-Y towing tank at a Reynolds number of Re = 500. Since a true impulsive start can only be approximated in physical experiments, the objective was to determine the experimental conditions for which the cylinder could be considered impulsively started. The dimensionless acceleration parameter was varied from a* = 0.5 to 10, and the temporal development of the near-wake recirculation zone was examined from the initial start until the wake became asymmetric. With increasing acceleration parameter, at a given elapsed time from the start of motion, there was an increase in the length of the recirculation zone, the maximum vorticity within the recirculation zone, the streamwise location of the primary attached eddies from the base of the cylinder, and the strength (circulation) of the primary eddies. The results showed that the spatial development of the recirculation zone was strongly dependent on the distance traveled by the cylinder following the start of motion, rather than the method of acceleration, and the flow around the circular cylinder could be considered impulsively started for a* ≥ 0.5.

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 score0.651
Threshold uncertainty score0.177

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 head0.006
GPT teacher head0.200
Teacher spread0.194 · 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

Citations7
Published2009
Admission routes1
Has abstractyes

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