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Record W4301935083 · doi:10.1615/tsfp7.1070

A POD INVESTIGATION OF THE THREE-DIMENSIONAL WALL JET NEAR FIELD

2011· article· en· W4301935083 on OpenAlexaff
Lhendup Namgyal, Joseph Hall

Bibliographic record

VenueProceeding of Seventh International Symposium on Turbulence and Shear Flow Phenomena · 2011
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Acoustics in Jet Flows
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsVorticityVortexJet (fluid)PhysicsParticle image velocimetryTurbulenceMechanicsReynolds numberVector fieldGeometryClassical mechanicsOpticsMathematics

Abstract

fetched live from OpenAlex

A turbulent three-dimensional wall jet was investigated at an exit Reynolds number of 2.5×105 using Stereoscopic Particle Image Velocimetry (PIV) in the near-field region (x/D=5). The Proper Orthogonal Decomposition (POD) was applied to all three components of the velocity field to investigate the underlying coherent structures in the flow Low-dimensional reconstructions of the turbulent velocity field using the first 5 POD modes showed that the streamwise flow contours are significantly distorted from the mean. This was induced by coherent streamwise vortex structures formed in the outer shear-layers of the wall jet, not unlike those found in free jets. The reconstructed instantaneous streamwise vorticity indicates the presence of a persistent vortex pair close to the wall and on either side of the jet centreline that are similar to the mean streamwise vorticity. These regions do not appear to be directly related to the streamwise vortex structures in the outer shear-layers.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · 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
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.014
GPT teacher head0.200
Teacher spread0.187 · 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 designObservational
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

Citations0
Published2011
Admission routes1
Has abstractyes

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