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Record W2049802114 · doi:10.2514/6.2006-313

Investigation of the Large Scale Flow Structures in Dual Planar Attaching Jets

2006· article· en· W2049802114 on OpenAlexafffund
Nan Gao, D. Ewing

Bibliographic record

Venue44th AIAA Aerospace Sciences Meeting and Exhibit · 2006
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Acoustics in Jet Flows
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPlanarDual (grammatical number)Scale (ratio)Flow (mathematics)Computer scienceMaterials sciencePhysicsMechanicsComputer graphics (images)Art

Abstract

fetched live from OpenAlex

An experimental investigation was performed to characterize the large scale structures present in turbulent offset attaching jets with a lower velocity co-flowing jet. The results showed that the nature of the structures present in the jets changed as the ratio of the lower jet velocity to the upper jet velocity changed. When the lower jet velocity was small, the lower jet was entrained into the upper jet before it attached to the surface. In these cases, the structures that developed in the inner shear layer were most prominent near the reattachment point, before a lower frequency motion that may be related to the outer shear layer of the jet became dominant. When the lower jet velocity was higher, there was a significant periodic motion in the near field that seemed to be associated with a flapping of the inner shear layer of the upper jet. This significantly increased the vertical fluctuating velocity in this region, but the fluctuations seemed to be damped as the inner shear layer approached the wall and did not have a large impact on the heat transfer or fluctuating pressure in this region where the upper jet interacted with the wall.

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)0.001
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 score0.147
Threshold uncertainty score0.379

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.007
GPT teacher head0.203
Teacher spread0.196 · 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

Citations2
Published2006
Admission routes2
Has abstractyes

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Same venue44th AIAA Aerospace Sciences Meeting and ExhibitSame topicAerodynamics and Acoustics in Jet FlowsFrench-language works237,207