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Record W4302081239 · doi:10.1615/tsfp7.130

HORSEHOE VORTICES IN UNIFORMLY SHEARED TURBULENCE

2011· article· en· W4302081239 on OpenAlexaff
Christina Vanderwel, Stavros Tavoularis

Bibliographic record

VenueProceeding of Seventh International Symposium on Turbulence and Shear Flow Phenomena · 2011
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsTurbulenceVortexParticle image velocimetryReynolds numberFlow visualizationWater tunnelMechanicsPhysicsLaser Doppler velocimetryBoundary layerShear (geology)OpticsMaterials scienceFlow (mathematics)Composite material

Abstract

fetched live from OpenAlex

Uniformly sheared flow (USF) with a turbulence Reynolds number Re! of approximately 150 and a shear rate parameter of approximately 12 has been generated in a water tunnel and its instantaneous structure has been examined using flow visualization, laser Doppler velocimetry and particle image velocimetry. Horseshoe-shaped vortices, similar to those observed in turbulent boundary layers (TBL), were found to be prevalent in this flow. These vortices were observed within relatively strong shear layers, which separated regions of fluid with nearly uniform velocity. Like TBL, USF was found to contain structures whose heads pointed towards the high speeds, but, in contrast to TBL, USF also contained inverted structures. These results demonstrate that organized horseshoe/hairpin-type vortices are generated by mean shear irrespectively of the presence of solid walls.

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: 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
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
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 head0.207
Teacher spread0.192 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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