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Record W2062239578 · doi:10.2495/afm120401

Bénard convection with rotation and a periodic temperature distribution

2012· article· en· W2062239578 on OpenAlexaff
S. J. D. D’Alessio, Kelly Ogden

Bibliographic record

VenueWIT transactions on engineering sciences · 2012
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMechanicsRotation (mathematics)Rayleigh numberFlow (mathematics)Steady state (chemistry)Computational fluid dynamicsBoundary value problemConvectionPhysicsRayleigh scatteringPeriodic boundary conditionsNatural convectionMathematicsMathematical analysisGeometryOpticsChemistry

Abstract

fetched live from OpenAlex

This study investigates the effects of a sinusoidally varying temperature distribution and rotation on free convection between two rigid plates.The domain is assumed to be much larger in the horizontal direction than in the vertical direction, which naturally introduces a small parameter.An approximate analytical solution for the steady-state flow is derived by expanding the flow variables in the small parameter.The steady-state solution was also determined numerically using the commercial CFD software package CFX.A comparison of the results shows that the form of the steady-state flow pattern is indeed captured by the approximate analytical solution.Unsteady numerical calculations are also carried out for various sets of parameters to determine when the flow destabilizes, how the modulated temperature boundary condition and rotation affect the critical Rayleigh number, and also to illustrate the flow pattern that develops when the flow becomes unstable.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.004
GPT teacher head0.173
Teacher spread0.169 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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