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Record W3030737730 · doi:10.1002/fam.2860

Smoke development and movement during <scp>ventilation‐limited</scp> fires in a multi‐storey house

2020· article· en· W3030737730 on OpenAlexafffundabout
Bronwyn Forrest, Elizabeth J. Weckman, Matthew J. DiDomizio, Peter Senez, Noah L. Ryder

Bibliographic record

VenueFire and Materials · 2020
Typearticle
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSmokeEnvironmental scienceVentilation (architecture)Air movementFire safetyNatural ventilationBuilding envelopeEnvironmental engineeringArchitectural engineeringEngineeringMeteorologyWaste managementCivil engineeringThermalGeography

Abstract

fetched live from OpenAlex

Summary Modern energy efficient homes in Canada are well‐sealed, having less air leakage and moisture propagation through the building envelope compared with older homes. From a fire safety perspective, it is unclear how this change influences the dynamics of house fires, including: heat release rate, flame spread, species production and smoke transport. Although previous studies have determined that better sealed structures tend to lead to ventilation‐limited fires, there is a dearth of research on this topic. Yet, it is important to understand the evolution of fires in energy efficient buildings to assess both physical and safety implications associated with this type of construction. This article presents results of species concentrations and smoke evolution during nine instrumented, large‐scale, ventilation‐limited and two‐storey residential furniture fire experiments. As the smoke layer descended, it impacted heat release rate of the fires. Oxygen concentrations on the main floor of the structure sequentially decreased to around 5%. Measurements of gas transport at the stairwell connecting the floors of the structure provided new information about how oxygen was drawn from different areas of the structure during growth of the fire. These results provide novel insight into the growth and impact of fires in modern energy efficient homes.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score0.491

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 head0.027
GPT teacher head0.227
Teacher spread0.201 · 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 designBench or experimental
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
Published2020
Admission routes3
Has abstractyes

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