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Fire resistance of timber decking for heavy timber construction

2001· article· en· W4242525912 on OpenAlexaboutno aff
L. R. Richardson, M. Batista

Bibliographic record

VenueFire and Materials · 2001
Typearticle
Languageen
FieldEngineering
TopicFire effects on concrete materials
Canadian institutionsnot available
Fundersnot available
KeywordsFire resistanceRoofDeckEngineeringForensic engineeringResistance (ecology)Cross laminated timberArchitectural engineeringCivil engineeringStructural engineeringEcology

Abstract

fetched live from OpenAlex

The National Building Code of Canada provides both prescriptive specifications for timber beams and columns afforded equivalency to wood-frame construction with 45 min fire-resistance ratings, and simple calculation methods for determining fire-resistance ratings of larger glued-laminated timber beams and columns. However, the building code does not accept calculation methods for determining the fire endurance of wood decking materials. Although heavy timber roof construction is quite common in construction projects today, the use of heavy timber floor construction is not. The fire performance of floor and roof decking in heavy timber construction is, however, a critical concern in the renovation of older buildings. The authors receive more enquiries about the fire resistance of specific deck combinations, and how to increase the fire resistance of these building elements, than about any other fire-resistance related subject. The inability of the wood industry to respond to these enquiries with accurate information almost always results in costly wood solutions or the selection of non-wood alternatives for renovation projects. This paper addresses many of those questions. Copyright © 2001 John Wiley & Sons, Ltd.

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 score0.045
Threshold uncertainty score0.599

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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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

Citations2
Published2001
Admission routes1
Has abstractyes

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