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Record W2200617944 · doi:10.2495/safe-v3-n1-41-50

A study on appropriateness of performance criteria of smoke control system among the local fire safety standard for underground spaces

2013· article· en· W2200617944 on OpenAlexvenueno aff
Chan-Sol Ahn, H. Kim, Yongho Yoo

Bibliographic record

VenueInternational Journal of Safety and Security Engineering · 2013
Typearticle
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsnot available
Fundersnot available
KeywordsSmokeFire safetyEnvironmental healthControl (management)Forensic engineeringEnvironmental scienceEngineeringRisk analysis (engineering)MedicineComputer scienceWaste management

Abstract

fetched live from OpenAlex

This study is intended to evaluate the characteristics of smoke spreading and the appropriateness of evacuation time extended by operation of smoke control system during fi re within the underground space of the building structured in compliance with the smoke control system performance criteria from the local fi re safety standard, which has been currently applied to the buildings in Korea.As a preceding review, the heat release of the combustibles was identifi ed and based on outcome thereof; the type and specifi cation of the combustibles existing at the possible fi re location were examined, estimating the heat releases.In a bid to validate the estimated values, modeling a single underground shopping mall was carried out, and the combustibles examined during the preceding review was placed inside the building for a real scale fi re test, the result of which was then reviewed and compared with a numerical analysis result.Using the heat release per unit weight of the combustibles, a numerical analysis both in case of smoke control system in operation and the system not in operation was carried out at several different shopping malls.From the viewpoint of securing the evacuation time, the results were compared in an attempt to assess the appropriateness of the fi re safety criteria.

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)0.001
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 score0.098
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.008
GPT teacher head0.235
Teacher spread0.227 · 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 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

Citations1
Published2013
Admission routes1
Has abstractyes

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