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Numerical and Experimental Study of 3D Turbulent Airflow in a Full Scale Heated Ventilated Room

2009· article· en· W2095370916 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEngineering Applications of Computational Fluid Mechanics · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsHydro-QuébecUniversité de Sherbrooke
Fundersnot available
KeywordsAirflowTurbulenceComputational fluid dynamicsScale (ratio)Scale modelMechanicsMechanical engineeringAerospace engineeringMaterials scienceEnvironmental scienceMarine engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

Velocities and temperatures in a large room heated to nearly 20 °C by an electric resistance and ventilated by a cool (16 °C) horizontal jet were measured along eight different vertical lines. These measurements are used in conjunction with corresponding numerical predictions by the RNG k-ε model to describe the hydrodynamic and thermal fields in the room. The interaction between the horizontal ventilation jet (which remains attached to the ceiling since both its inlet and outlet are in the ceiling) and the natural convection movement (which is upward above the electric heater and downward along the cold wall and windows) creates a complex 3D flow field. The CFD model is also used to study the effect of the air outlet position on the flow field and the net energy outflow due to ventilation. This last quantity represents 48% to 63% of the power delivered by the electric resistance.

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.

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 score0.037
Threshold uncertainty score0.415

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 head0.005
GPT teacher head0.215
Teacher spread0.211 · 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