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Modulus Effect of Bonded CFRP Laminates Used for Repairing Preyield and Postyield Cracked Concrete Beams

2013· article· en· W1978355400 on OpenAlexaff
Timothy Richardson, Amir Fam

Bibliographic record

VenueJournal of Composites for Construction · 2013
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsQueen's University
Fundersnot available
KeywordsMaterials scienceComposite materialFlexural strengthDelamination (geology)Failure mode and effects analysisCrackingBeam (structure)Carbon fiber reinforced polymerUltimate failureUltimate loadFibre-reinforced plasticUltimate tensile strengthStructural engineeringModulusReinforced concreteFinite element method

Abstract

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Two different prerepair loading histories were simulated in 3,000×300×150 mm reinforced concrete beams, namely cracking within the elastic range, and overloading in the plastic range. After unloading, the beams were repaired with either high or ultrahigh modulus (210 or 400 GPa) carbon fiber–reinforced polymer (CFRP) plates, or a hybrid system, and then reloaded to failure. It was shown that the level of preexisting damage has insignificant effect on strengthening effectiveness and failure mode at ultimate. The 210 and 400 GPa CFRP of reinforcement ratio ρf=0.17% increased the yielding load by 33 and 60%, respectively, whereas the ultimate strength was increased by up to 29 and 51%, respectively. Doubling ρf of the 400 GPa CFRP to 0.34% resulted in a 63% overall gain in flexural strength, which is only an 8% increase over ρf=0.17%, because of change in failure mode from rupture to concrete cover delamination. The beam retrofitted by hybrid CFRP showed remarkable pseudoductility and warning signs. The parametric study revealed a critical balance in proportioning the areas of hybrid CFRP to achieve reliable pseudoductility. A maximum of 30% ρf of 400 GPa CFRP is recommended. A higher percentage would lead to a final ultimate load lower than the first failure peak load.

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: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.721

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 head0.005
GPT teacher head0.214
Teacher spread0.209 · 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

Citations13
Published2013
Admission routes1
Has abstractyes

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