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Record W2315507488 · doi:10.1115/fedsm2014-21568

Effects of Gap Ratio on Flow Past a Square Cylinder

2014· article· en· W2315507488 on OpenAlexaff
Ebenezer E. Essel, Liam K. R. Sharkey, Mark F. Tachie

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsReynolds numberFreestreamTurbulenceParticle image velocimetryMechanicsTurbulence kinetic energyReynolds stressCylinderGeometryShear stressMaterials sciencePhysicsOpticsMathematics

Abstract

fetched live from OpenAlex

The present study investigates the effect of gap ratio on the turbulent flow characteristics downstream of a square cylinder positioned in an open channel. Detailed velocity measurements were performed using a particle image velocimetry (PIV) system for gap ratios, G/h = 0.5 and 1, where G is the distance from the bottom face of the cylinder to the nearby wall and h is the cylinder height. Each set of experiments was conducted using a water depth of 65 mm and a Reynolds number of 2000 based on the height of the cylinder and the freestream velocity. Mean velocities, Reynolds stresses and Reynolds shear stress producing events of the quadrant decompositions were compared for the different gap ratios investigated. The results showed that as gap ratio decreased from 1 to 0.5 cylinder heights, the length of the separated region increased by 50%. Furthermore, the Reynolds stresses were found to decrease with decreasing gap ratio. Further downstream of the cylinder, the turbulent kinetic energy decreased, while the Reynolds shear stress increased for G/h = 0.5 compared to G/h = 1.

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: none
Teacher disagreement score0.920
Threshold uncertainty score0.215

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 head0.004
GPT teacher head0.188
Teacher spread0.183 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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