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Record W4251973783 · doi:10.22215/etd/2018-13455

Full Scale Tests on the Discharge Characteristics, Drainage Characteristics and Fire Suppression Performance of Portable Compressed Air Foam System

2018· dissertation· en· W4251973783 on OpenAlexaff
Oluwadamilola Okunrounmu

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsCarleton University
Fundersnot available
KeywordsDrainageExtinguishmentCompressed airMaterials scienceComposite materialBar (unit)Atmospheric pressureHeat fluxThermalRange (aeronautics)Heat transferEnvironmental scienceMechanicsMeteorologyEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Existing portable foam extinguishers generate fire-fighting foam at high pressures with the aid of air aspirating nozzles. These systems could encounter several limitations at the point of application such as poor foam quality and insufficient momentum to reach the seat of the fire. Research had shown that by incorporating compressed air into the portable foam system, the integrated foam system could generate superior quality foam with high momentum when properly installed with the right components. This research investigated the discharge characteristics, drainage characteristics and fire suppression performance of a portable compressed air foam system. The study also investigated compliance with the requirements of NFPA 10 and CAN/ULC-S508 for a new portable system.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.006
GPT teacher head0.217
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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