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Record W2586916570 · doi:10.1615/tsfp5.60

HAIRPIN STRUCTURES IN A TURBULENT BOUNDARY LAYER WITH STRONG ADVERSE PRESSURE GRADIENT

2007· article· en· W2586916570 on OpenAlexaff
Mohammad Hossein Shafiei Mayam, Yvan Maciel

Bibliographic record

VenueProceeding of Fifth International Symposium on Turbulence and Shear Flow Phenomena · 2007
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsVortexBoundary layerParticle image velocimetryAdverse pressure gradientPressure gradientTurbulenceMechanicsAirfoilPhysicsFlow separationOpticsStall (fluid mechanics)Classical mechanics

Abstract

fetched live from OpenAlex

Coherent structures in the outer region of a turbulent boundary layer subjected to a strong adverse pressure gradient have been studied using particle image velocimetry (PIV). The experimental set-up is designed to achieve flow conditions corresponding to trailing-edge stall of an airfoil. Large sets of instantaneous velocity fields are acquired by PIV in streamwise-wall-normal planes at three different streamwise locations. Signatures of hairpin vortices are found in all the fields and hairpin packets occur in the majority of them. The essential features of the hairpins and hairpin packets are similar to those found in zero-pressure-gradient turbulent boundary layers. The hairpin vortices are however slightly more inclined with respect to the wall in the present flow, and the upward growth of the hairpin packets in the streamwise direction is more important. The characteristics of the spanwise vortices are also documented.

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 score0.038
Threshold uncertainty score0.956

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 head0.217
Teacher spread0.209 · 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
Published2007
Admission routes1
Has abstractyes

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