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Design and Behavior of UHPFRC Field-Cast Transverse Connections between Precast Bridge Deck Elements

2017· article· en· W2608693977 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Bridge Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaPolytechnique Montréal
KeywordsPrecast concreteStructural engineeringSlabFiber-reinforced concreteStiffnessDeckTransverse planeMaterials scienceBridge (graph theory)Parametric statisticsEngineeringReinforced concrete

Abstract

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This research focuses on developing and measuring the mechanical behavior of ultrahigh-performance fiber-reinforced concrete (UHPFRC), transverse, field-cast connections between precast bridge deck elements. The connections had a closed shape, exposed aggregates, and lap splice length of 10 bar diameters (db). Three slab designs were considered: high-performance concrete (HPC), high- performance fiber-reinforced concrete (HPFRC), and hybrid HPFRC and UHPFRC. The first set of specimens was subjected to quasi-static loads up to failure, while the second set was subjected to cyclic fatigue loads prior to quasi-static loading to failure. Experimental results showed that all precast bridge decks with UHPFRC connections presented the same stiffness and ultimate strength as equivalent cast-in-place (CIP) slabs. Finite-elements models reproduced experimental results accurately and were used for predicting the mechanical behavior of continuous bridge slabs. Parametric studies demonstrated that, under various loading conditions, transverse UHPFRC field-cast connections do not modify the stiffness, ultimate strength, and failure mode of a slab differently than the equivalent CIP systems.

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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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score0.891

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 head0.034
GPT teacher head0.264
Teacher spread0.229 · 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