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Record W3092879974 · doi:10.1002/fam.2918

Fire resistance of wood stud wall assemblies

2020· article· en· W3092879974 on OpenAlexafffundabout
Mohamed A. Sultan

Bibliographic record

VenueFire and Materials · 2020
Typearticle
Languageen
FieldEngineering
TopicFire effects on concrete materials
Canadian institutionsNational Research Council Canada
FundersNational Research Council Canada
KeywordsFire resistanceEngineeringStructural engineeringComposite materialFire performanceBlocking (statistics)Forensic engineeringMaterials scienceMathematics

Abstract

fetched live from OpenAlex

Summary This paper presents the fire resistance results of seven full‐scale wall assemblies that were conducted at the National Research Council of Canada (NRC) jointly with the North American construction industry and other Canadian government departments. Parameters investigated for protected interior wall assemblies with a single‐row of wood studs included: insulation types and mid‐height blocking. Parameters investigated for protected interior wall assemblies with a double‐row of wood studs on a separate plate included: insulation types, wood studs spacing and mid‐height blocking. The impact of the investigated parameters on the fire resistance of wall assemblies is discussed. Results of the parameters studied showed that the installation of mid‐height blocking in wall assembly with a single‐row of wood stud and filling the wall cavities with cellulose insulation in wall assembly with a double‐row of wood studs improved the fire resistance by 10 to 15 minutes, respectively. However, the other parameters studied had improved the fire resistance slightly by up to 6 minutes.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.625

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 head0.012
GPT teacher head0.205
Teacher spread0.193 · 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

Citations4
Published2020
Admission routes3
Has abstractyes

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