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One-Way Shear Strength of FRP–Reinforced Concrete Members Without Stirrups: Design Provision Review

2021· article· en· W3145261104 on OpenAlexaff
Helmi Alguhi, Douglas Tomlinson

Bibliographic record

VenueJournal of Composites for Construction · 2021
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFibre-reinforced plasticStructural engineeringMaterials scienceReinforced concreteReinforcementShear (geology)Composite materialShear strength (soil)Young's modulusShear modulusEngineeringGeology

Abstract

fetched live from OpenAlex

The American Concrete Institute recently updated their one-way shear provisions for steel–reinforced concrete (RC), and it is time to consider updating provisions for one-way shear in fiber-reinforced polymer (FRP)-reinforced concrete (FRP–RC). The shear strength of FRP–RC is lower than steel–RC mainly because FRP, particularly glass–FRP, has a much lower modulus of elasticity than steel. This study evaluates the performance of current design provisions at predicting the one-way shear strength of RC members without stirrups that are internally reinforced with longitudinal FRP bars, based on 147 tests available in the literature. Further, shear parameter effects (concrete strength, size effect, span to effective depth ratio, modulus of elasticity, and longitudinal reinforcement ratio) were also investigated. One-way ANOVA analysis was used to classify each provision, and results show that the codes, standards, and guidelines are identified as more consistent groups compared with the proposed models. The method proposed in the CSA S806-12 standard is the most consistent of the studied approaches at predicting the shear strength of the tested members with a mean predicted-to-experimental strength closest to one and the minimum average absolute error.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.285
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.019
GPT teacher head0.254
Teacher spread0.235 · 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 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

Citations19
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Composites for ConstructionSame topicStructural Behavior of Reinforced ConcreteFrench-language works237,207