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FRCM Strengthening of Corrosion-Damaged RC Beams Subjected to Monotonic and Cyclic Loading

2021· article· en· W3216419772 on OpenAlexaff
John Joseph Bressan, Faouzi Ghrib, Amr El Ragaby

Bibliographic record

VenueJournal of Composites for Construction · 2021
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsMaterials scienceComposite materialCorrosionStiffnessBeam (structure)Ultimate tensile strengthReinforced concreteBendingCyclic stressStructural engineering

Abstract

fetched live from OpenAlex

An experimental investigation assessed the effectiveness of carbon and polyparaphenylene benzobisoxazole (PBO) fabric-reinforced cementitious matrix (C-FRCM and PBO-FRCM) systems in rehabilitating reinforced concrete beams affected by corrosion of the tensile steel reinforcement. Thirteen reinforced concrete beam specimens were tested using a four-point bending setup under monotonic and cyclic loading. The FRCM strengthening of the corrosion-damaged specimens significantly increased the yield and ultimate capacity. The FRCM composites efficiency was demonstrated under cyclic loading; the restoration of the beams’ strength is maintained over the cyclic life. The FRCM strengthening systems were capable of extending the cyclic life up to five times in comparison with nonstrengthened control beam. The rehabilitated beams maintained their stiffness during the cyclic loading, indicating that FRCM-strengthening systems efficiently resist cyclic loads.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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

Citations19
Published2021
Admission routes1
Has abstractyes

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