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Record W4386156168 · doi:10.32920/24034119

The Structural Performance of Composite Slabs with Profiled Steel Sheet Incorporating Different Concretes

2023· preprint· en· W4386156168 on OpenAlexaff
Marjuk Mahfuz

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicFire effects on concrete materials
Canadian institutionsToronto Metropolitan UniversityUniversity of Waterloo
Fundersnot available
KeywordsStructural engineeringComposite numberDeckDuctility (Earth science)Materials scienceStiffnessResidual strengthComposite materialReinforcementFire performanceComposite constructionEngineeringFire resistanceCreep

Abstract

fetched live from OpenAlex

<p>Cold formed profiled steel sheets are widely used for composite floor decking, where they remain permanently in place as an integral part of the floor system. Some benefits of composite deck flooring are economy, speed of construction, and reduced weight. This research consisted of experimental investigations on composite slabs under static and post-fatigue monotonic loading, as well as loading to failure after being subjected to fire at specified temperature and fire duration. The material and geometric variables are the five types of high performance concrete mixes, two types of profile sheet and the presence or absence of longitudinal reinforcement. The structural performance of the composite slabs are described based on load-displacement response, stiffness, energy absorption capacity, ductility, steel deck-concrete interface as well as post-fatigue and post-fire residual strength. The recommendations of this research will be useful for determining the best application for each concrete mix in composite slabs. </p>

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
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 science0.0010.001
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 head0.011
GPT teacher head0.210
Teacher spread0.199 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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