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Record W2226399249 · doi:10.1139/tcsme-2014-0034

PRELIMINARY EXPERIMENTAL AND NUMERICAL INVESTIGATIONS OF THE FLOW IN THE CONTRACTION OF A BOUNDARY LAYER WIND TUNNEL

2014· article· en· W2226399249 on OpenAlexaffvenue
Mohamed Bouriga, Jean‐Sebastien Lemyre‐Baron, François Morency, Julien Weiss

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2014
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Fluid Dynamics Research
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsBoundary layerVortexMechanicsWind tunnelFlow separationContraction (grammar)Reynolds-averaged Navier–Stokes equationsFlow (mathematics)VorticityComputer simulationWakePhysicsComputational fluid dynamics

Abstract

fetched live from OpenAlex

The time-averaged flow in the contraction of a new boundary-layer wind tunnel is investigated experimentally using Pitot probes and numerically using RANS simulations. Numerical simulations are performed to rule out any risk of flow separation. Experimental and numerical results show a good flow uniformity in the potential core at the contraction exit. Small non-uniformities of the boundary-layer thickness close to the sidewalls centerline are explained by the presence of longitudinal vortices near the sidewall boundary layers. The numerical results confirm an earlier hypothesis concerning the generation of these longitudinal vortices by skew-induced vorticity.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.215
Teacher spread0.205 · 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

Citations6
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueTransactions of the Canadian Society for Mechanical EngineeringSame topicAerodynamics and Fluid Dynamics ResearchFrench-language works237,207