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Record W2178229884 · doi:10.1139/cjce-2012-0489

Experimental study of static behaviour of stud shear connectors

2013· article· en· W2178229884 on OpenAlexaffvenue
Yi Liu, Ammar Alkhatib

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2013
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsDalhousie University
Fundersnot available
KeywordsStructural engineeringReinforcementShear (geology)EngineeringFailure mode and effects analysisMaterials scienceComposite material

Abstract

fetched live from OpenAlex

An experimental program involving the test of 25 push-out specimens was conducted to study the behaviour and strength of shear studs in the application of composite bridge decks and to assess the detailing requirement specified in the code practice. Testing parameters included reinforcement mesh position, presence of stud head, and stud height. An alternative type of shear studs, referred to as adjustable studs, was also studied and its capacity was compared with conventional studs. Results showed that the position of reinforcement mesh affected the specimen failure mode and ultimate load. Comparing with the cases where the mesh was placed either flush with the stud head or above the stud, the maximum ultimate load was reached and the failure was by stud shear-off when the mesh intercepted the studs. Shear studs with heads resulted in a higher ultimate load in specimens than unheaded shear studs. In the comparison between conventional and adjustable shear studs, while they shared similar failure modes, adjustable studs showed on average lower load capacity than their conventional counterparts. For all specimens studied, only specimens with reinforcement mesh satisfying the detailing requirement were able to attain the code specified strength.

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)0.002
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.197
Teacher spread0.189 · 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

Citations12
Published2013
Admission routes2
Has abstractyes

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