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Record W1986370453 · doi:10.2514/1.31933

Turbulent Wake of Rectangular Cylinder Near Plane Wall and Free Surface

2008· article· en· W1986370453 on OpenAlexaff
Martin Agelin‐Chaab, Jonathan M. Tsikata, Mark F. Tachie, K. K. Adane

Bibliographic record

VenueAIAA Journal · 2008
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFreestreamFroude numberStreamlines, streaklines, and pathlinesWakeCylinderMechanicsTurbulenceParticle image velocimetryReynolds numberGeometryFree surfacePhysicsOpticsPlane (geometry)Potential flow around a circular cylinderMaterials scienceFlow (mathematics)Mathematics

Abstract

fetched live from OpenAlex

This paper reports an experimental study of turbulent wake of a two-dimensional rectangular cylinder in a 2500-mm long, 186-mm wide, and 197-mm deep recirculating open channel. The water level upstream of the cylinder was maintained at 100 mm while the aspect and blockage ratios, defined, respectively, as the cylinder's length to thickness and the cylinder thickness to water depth, were 9 and 0.12. The cylinder was mounted across the channel at three different vertical locations: relatively close to the plane wall, close to the free surface, and relatively remote from both the plane wall and the free surface. For each of the preceding three locations, a particle image velocimetry technique was used to conduct detailed measurements at various streamwise-transverse planes around and downstream of the cylinder. For each test condition, the freestream velocity of the approach flow was kept constant at 0.356 m/s. The Reynolds number based on the cylinder thickness was 4270 and the Froude number was 0.36. From these measurements, the streamlines, isocontours of mean vorticity, as well as the mean velocities and turbulent quantities were obtained to document the effects of the plane wall and the free surface on the flow characteristics.

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 score0.092
Threshold uncertainty score0.277

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 head0.008
GPT teacher head0.183
Teacher spread0.175 · 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

Citations13
Published2008
Admission routes1
Has abstractyes

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