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Record W4387857298 · doi:10.29117/cic.2023.0111

Bond Performance of Near-Surface Mounted BFRP Bars to Concrete

2023· article· en· W4387857298 on OpenAlexaff
Omar Aljidda, Wael Alnahhal

Bibliographic record

VenueInternational conference on civil infrastructure and construction/Proceedings of the ... International conference on civil infrastructure and construction · 2023
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsBond strengthMaterials scienceComposite materialEpoxyBar (unit)AdhesiveBasalt fiberBondFailure mode and effects analysisStructural engineeringFiberLayer (electronics)GeologyEngineering

Abstract

fetched live from OpenAlex

This paper presents the test results of a study on the bond performance of near-surface mounted (NSM) basalt fiber reinforced polymer (BFRP) bars to concrete. Twelve C-shape concrete specimens were tested under direct pull-out loading configuration. Test parameters included the bar surface configuration (deformed and sand coated), the types of epoxy adhesive (NSM Gel and Sikadur-30), and the bonded length (6, 12, and 24 times its diameter). The influence of various parameters on the overall bond performance of NSM-BFRP bars is analyzed and discussed. The obtained results confirmed the impact of the investigated parameters on the bond behavior of the tested specimens. It was found that the bond strength and failure mode varied considerably with the bar surface configuration and bonded length. Higher bond strength was obtained when the NSM Gel epoxy with high strength properties. The results also revealed that both the deformed and sand coated bars showed almost similar bond strengths. Moreover, the pull-out loads increased with the increase of the bonded length of the NSM bars.

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 score0.008

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 science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.238
Teacher spread0.225 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueInternational conference on civil infrastructure and construction/Proceedings of the ... International conference on civil infrastructure and constructionSame topicStructural Behavior of Reinforced ConcreteFrench-language works237,207