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Record W1982528135 · doi:10.1063/1.1766033

Dependence on the initial conditions of scalar mixing in the turbulent wake of a circular cylinder

2004· article· en· W1982528135 on OpenAlexafffund
S. Beaulac, Laurent Mydlarski

Bibliographic record

VenuePhysics of Fluids · 2004
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhysicsScalar fieldTurbulenceScalar (mathematics)IsotropyMechanicsClassical mechanicsOpticsGeometryMathematics

Abstract

fetched live from OpenAlex

The effect of the initial conditions on scalar mixing in the turbulent wake of a circular cylinder is studied. The scalar under consideration is temperature and it is injected by means of an array of parallel, heated, fine wires (a mandoline). The initial length scale of the velocity field is varied (relative to that of the scalar field) by changing the downstream location of the mandoline. The initial length scale of the scalar field is modified by changing the number of mandoline wires and their spacing. In accordance with previous results in homogeneous, isotropic, grid turbulence, increasing the initial length scale of the velocity field was found to (i) increase the decay rate of scalar variance (m), (ii) decrease the integral scale of the scalar field (lθ), and (iii) increase the mechanical to thermal time scale ratio r. Varying the mandoline wire spacing had little effect on m, lθ, or r. Increasing the width of the mandoline decreased the scalar variance decay rate. Doing so, however, had negligible effect on the structure of the scalar field (i.e., lθ or r). The independence of the scalar variance decay rate and the structure of the scalar field—the opposite of what is observed in grid turbulence—is attributed to the inhomogeneous nature of the 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 score0.170
Threshold uncertainty score0.314

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 head0.019
GPT teacher head0.242
Teacher spread0.224 · 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

Citations10
Published2004
Admission routes2
Has abstractyes

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