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Record W7095170985

Transportation Association of Canada

2008· article· en· W7095170985 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPrecast concreteDeckGroutShear (geology)Parametric statisticsComposite numberComposite constructionServiceability (structure)
DOInot available

Abstract

fetched live from OpenAlex

The current edition of the Canadian Highway Bridge Design Code (CHBDC) provides limited guidance for the design of composite bridges with precast concrete deck panels and steel girders. The shear connection is critical in determining the overall performance of the composite superstructure and is commonly achieved with a grout blockout in a precast concrete deck panel, which accepts a cluster of tightly spaced steel shear studs. No specific equations are found in the CHBDC for the design of shear studs used in this system. Furthermore, the current longitudinal spacing limitation of 600mm for shear studs in the CHBDC is not conducive to the construction of precast concrete decks where an increased spacing of the stud cluster is desirable. An experimental testing regime was conducted using push-test specimens constructed with precast concrete panels connected to steel flanges with steel studs within a circular grout pocket. Specimens were tested to failure to determine the ultimate capacity of a stud cluster and to investigate the reduction in ultimate strength after cyclic loading. A 36m simple span composite superstructure was designed to the CHBDC. A parametric study is being conducted on the spacing of stud clusters to investigate the serviceability limit state of the composite superstructure using data captured from the push test specimens. Results from the study indicate that clustered shear studs embedded in high strength grout for construction using precast deck panels are suitable for CHBDC requirements and preliminary investigations show that exceeding the code maximum stud spacing of 600mm can be acceptable.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.807

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 head0.003
GPT teacher head0.138
Teacher spread0.135 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2008
Admission routes1
Has abstractyes

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