Experimental and numerical study of smoke conditions in an atrium with mechanical exhaust
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.
Bibliographic record
Abstract
Fullwscale experiments and numerical modelling using Computational Fluid Dynamics techniques were employed to investigate atrium smoke exhaust in physical model studies. These investigations are part of a joint research project between the American Society of Heating Refrigerating and Air-Conditioning Engineers Inc. (ASHRAE) and the National Research Council of Canada (NRCC). The objective of these studies is to develop input to design guides for atrium smoke management systems. This paper presents initial results from this study. The physical tests were done in a specifically constructed compartment equipped with a smoke exhaust system and instrumentation for measuring temperatures, CO2 concentrations and velocities. Fire was modelled using propane burners capable of producing fires with different intensities and areas. The numerical simulations were done using Computational Fluid Dynamics (CFD) models. A comparison between the experimental and predicted temperatures and CO2 concentrations indicated that the CFD model can predict the conditions in the room. as well as the depth of the hot layer.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it