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Record W2998641890 · doi:10.2514/6.2020-2037

Streamwise Variation of the Unsteady Pressure Field in the Three-Dimensional Wall Jet

2020· article· en· W2998641890 on OpenAlexaff
Bonnie Sim, Joseph W. Hall

Bibliographic record

VenueAIAA Scitech 2020 Forum · 2020
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Acoustics in Jet Flows
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsJet (fluid)MechanicsTurbulenceReynolds numberNozzlePhysicsSpectral lineThermodynamics

Abstract

fetched live from OpenAlex

The streamwise variation in the unsteady wall pressure of a turbulent three-dimensional wall jet was examined experimentally. Based on the exit velocity and the nozzle diameter, the Reynolds number of the wall jet was 140,000. The fluctuating wall pressure was measured using a two-dimensional lateral-streamwise array of 89 condenser microphones from x/D=5 to 15. The instantaneous pressure fluctuations showed strong lateral antisymmetry, which appeared to be linked to the lateral development of the flow. Instantaneous intermittent events convected downstream through the entire measurement region but were observed to change speed, slow down, surge forward, and convect laterally. Power spectra for comparable streamwise positions at the centreline and off the centreline showed stronger organization off of the centreline. The power spectra off of the centreline had a more dominant peak than on the centreline. However, spectra at both locations exhibited a low frequency peak that did not appear to be convective; the significance of this peak is unclear.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.194
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 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueAIAA Scitech 2020 ForumSame topicAerodynamics and Acoustics in Jet FlowsFrench-language works237,207