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Record W4360865056 · doi:10.3390/fire6040132

Smoke Control in High-Rise Residential Buildings with Stair Pressurization Systems

2023· article· en· W4360865056 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

VenueFire · 2023
Typearticle
Languageen
FieldEngineering
TopicEvacuation and Crowd Dynamics
Canadian institutionsRowan Williams Davies & Irwin (Canada)
Fundersnot available
KeywordsDoorsCabin pressurizationSmokeEnvironmental scienceStairsAirflowSimulationEngineeringComputer scienceMarine engineeringStructural engineeringMechanical engineeringWaste management

Abstract

fetched live from OpenAlex

Stair pressurization systems are designed to create a smoke-proof barrier, preventing the ingress of smoke into staircases within buildings. In tall buildings over 25 m, evacuation strategies can utilize phased or simultaneous evaluation of multiple storeys. This paper examines the performance of a stair pressurization with a differing number of doors open starting from two doors, with an incremental step of two up to a total of 10 doors into the shaft. Simulations using Fire Dynamics Simulation (FDS) have shown that a system that would pass commissioning requirements allows smoke in the shaft if there are more than four doors open simultaneously. The required airflow to prevent smoke ingress was found to be above an average flow speed of 0.7 m/s. Past this limit, the amount of smoke that leaks into the staircases continues to increase as more doors open. The study suggests that standards regarding stair pressurization systems should be updated to account for realistic evacuation scenarios, including the system’s cascade settings, number of storeys, and expected evacuation time, as evidenced by the smoke leakage once four doors were open and the drop-in flow rate between two-door and four-door open cases.

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 score0.050
Threshold uncertainty score0.284

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 head0.200
Teacher spread0.194 · 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