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Record W4386689848 · doi:10.1002/cepa.2696

Shear Capacity of Channel Shear Connectors Applied in Composite Slabs with Profiled Steel Decking

2023· article· en· W4386689848 on OpenAlexaboutno aff
Hermano de Sousa Cardoso, Luis Augusto Pupin

Bibliographic record

Venuece/papers · 2023
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
FundersArcelorMittal
KeywordsCable glandFlangeStructural engineeringComposite numberShear (geology)WeldingMaterials scienceFinite element methodStiffnessDuctility (Earth science)Composite materialEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Abstract This paper assesses the shear capacity and the structural behaviour of channel connectors in composite slabs. Push‐out specimens were analyzed numerically by using the finite element program ABAQUS. For the studied solution, regular openings at the lower flange in the profiled decking are considered to allow the welded channel connector to pass through. The numerical model was calibrated against experimental outputs on push‐out tests found in the literature. Then, the influence of steel decking thickness on load capacity, stiffness and ductility of channel connectors in composite slabs was also assessed. In addition, it was concluded that safe predictions of load capacity could be obtained by including reduction factors in the Canadian design approach.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.196
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

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