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Record W4301007475 · doi:10.1615/tsfp10.750

THE FLUCTUATING VELOCITY FIELD ABOVE THE FREE END OF A SURFACEMOUNTED FINITE-HEIGHT SQUARE PRISM

2017· article· en· W4301007475 on OpenAlexaff
Rajat Chakravarty, Noorallah Rostamy, Donald J. Bergstrom, David S. Sumner

Bibliographic record

VenueProceeding of Tenth International Symposium on Turbulence and Shear Flow Phenomena · 2017
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsFreestreamReynolds numberPhysicsMechanicsBoundary layerParticle image velocimetryWakeOpticsShear velocityVortex sheddingGeometryTurbulenceVortexMathematics

Abstract

fetched live from OpenAlex

This study investigates the features of the fluctuating velocity field above the free end of a surface-mounted finite-height square prism, at a Reynolds number of Re = 4.2×104, using two state-of-the-art post-processing methodologies, namely Proper Orthogonal Decomposition (POD) and the swirling strength criterion. Instantaneous velocity measurements were obtained from Particle Image Velocimetry (PIV) experiments conducted in a low-speed wind tunnel for the flow over finite square prisms of aspect ratios AR = 9, 7, 5 and 3 (AR = H/D where H is the prism height and D is the prism width). The prisms were immersed in a thin, turbulent boundary layer with a dimensionless thickness of δ/D = 1.6. The Reynolds number based on the freestream velocity U∞ was Re = 4.2×104. POD modes were used to extract the dominant flow features, which revealed a pair of shear sub-layers above the free end, flow entrainment from the freestream above, as well as several vortex structures in the mean shear flow region. At lower aspect ratios, the shear layers become more pronounced. Combined with the swirling strength results, this represents evidence of Kelvin-Helmholtz instabilities within the shear layer region. These instabilities increase moving away from the vertical symmetry plane. Some structures in the near wake above and behind the prism trailing edge are also seen due to the interactions of the reverse flow downstream with the downwash flow.

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 score0.568
Threshold uncertainty score0.340

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 science0.0010.000
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 head0.009
GPT teacher head0.228
Teacher spread0.219 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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