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Fatigue Behavior of Welded Shear Studs in Precast Composite Beams

2017· article· en· W2752080870 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 institutionsUniversity of Waterloo
FundersMinistère des Transports
KeywordsPrecast concreteStructural engineeringDeckGirderWeldingShear (geology)Beam (structure)EngineeringBridge deckMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Bridges consisting of full-depth precast concrete deck panels connected to steel girders are an increasingly popular option for accelerated bridge replacement. In designing the shear connectors for this bridge type, fatigue is often the governing failure mode. Typically, design provisions developed for cast-in-place deck systems are used. To date, only limited efforts have been undertaken to assess these provisions for precast applications. Most of the data has been obtained from push tests under constant-amplitude loading conditions. Against this background, this article presents measured strain, fatigue life, and autopsy results for 12 composite beam specimens (6 with precast concrete slabs) subjected to a variable-amplitude loading history until multiple stud failures were observed. The results indicate that shear studs in beams with precast slabs exhibit a fatigue performance at least on par with those in beams with cast-in-place slabs. In addition to yielding valuable fatigue data, the test results provide evidence of the effects of redundancy and the value of beam tests, rather than push tests, for assessing and designing shear connectors.

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.731
Threshold uncertainty score0.829

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 science0.0010.000
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 head0.025
GPT teacher head0.264
Teacher spread0.239 · 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