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Record W4312752372 · doi:10.1115/fedsm2022-87654

Investigations of Aspect Ratio Effects on Wake Dynamics of Rectangular Cylinders

2022· article· en· W4312752372 on OpenAlexaff
Manqi Liu, Sedem Kumahor, Lucas Audette, Mark F. Tachie

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsWakeReynolds numberParticle image velocimetryCylinderMechanicsVortexFlow (mathematics)PhysicsVelocimetryVortex sheddingKármán vortex streetGeometryMathematicsTurbulence

Abstract

fetched live from OpenAlex

Abstract In this paper, the flow characteristics around rectangular cylinders with different length to height ratios (aspect ratios, AR) of AR1, AR2, AR3 and AR4 are studied using a particle image velocimetry. The Reynolds number (Re) was 7200 in all cases and the results were analyzed in terms of the mean flow characteristics, Reynolds stresses and triple velocity correlations. The separated flow did not reattach for AR1 and AR2 cylinders. The flow topology around the AR2 cylinder showed a massive wake vortex compared to the other tested cases. The recovery of the mean velocity within the wake region was slowest for AR2, meanwhile, AR3 and AR4 revealed mean reattachment over the cylinder. The magnitudes of the Reynolds stresses and triple velocity correlations were consistently higher along the cylinder centerline for AR1 compared to the other cases.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.295

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 head0.192
Teacher spread0.186 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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