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Record W4235787676 · doi:10.32920/ryerson.14665254

Experimental Investigation on Pull-out Strength of Pre- and Post-Installed GFRP bars for Bridge Barrier Construction

2021· preprint· en· W4235787676 on OpenAlexaff
Alireza Abolghasem

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsEmbedmentFibre-reinforced plasticStructural engineeringBridge (graph theory)Bar (unit)SlabBridge deckBearing capacityGeotechnical engineeringPierDeckEngineeringMaterials scienceGeology

Abstract

fetched live from OpenAlex

This study aims at providing research information on the pullout capacity of straight and headed-end GFRP bars embedded in bridge deck slab as pre-installed anchors for new bridge barrier-deck construction and as post-installed anchors for the replacement of deteriorated bridge barriers. In Phase I of this research, the pullout capacity of pre-installed ribbed-surface GFRP bars in twin- and triple-bar groups were investigated experimentally, considering different bar size, spacing and embedment depths. In phase II of this research, the pullout capacity of post-installed sand-coated and ribbed-surface GFRP bars were investigated experimentally considering different bar size and embedment depths and adhesive types. The experimental findings were compared with available experimental results and pullout formulas. Design values for the pullout strength of the GFRP bars as pre- and post-installed anchors in concrete were deduced.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.250
Teacher spread0.231 · 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
Published2021
Admission routes1
Has abstractyes

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Same topicStructural Behavior of Reinforced ConcreteFrench-language works237,207