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Record W7026913051

Bond behavior of FRP-to-concrete under cyclic fatigue loading of RC structures strengthened with EB-FRP composites

2023· other· en· W7026913051 on OpenAlexfundno aff

Bibliographic record

VenueEspace École de technologie supérieure (École de technologie supérieure) · 2023
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsnot available
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsBrittlenessFibre-reinforced plasticShear (geology)RetrofittingBondAramidGirder
DOInot available

Abstract

fetched live from OpenAlex

Reinforced concrete (RC) structures such as bridge girders are subjected, during their service life, to cyclic fatigue loading, mainly in the form of traffic loads. These structures are prone to progressive damage and may experience shear failure, which is often characterized by brittle rupture without any prior warning. Hence, retrofitting RC structures deficient in shear calls for the application of appropriate strengthening systems. The use of externally bonded (EB) fiber reinforced polymer (FRP) composites features numerous advantages and is a promising technology for shear strengthening of RC structures. However, the performance of EB-FRP retrofitted concrete structures can be highly influenced by the bond at FRP-to-concrete interface, as interfacial debonding can lead to the premature failure of the strengthening system. Limited investigations have been carried out on the FRP-to-concrete bond behavior of EB-FRP strengthened concrete structures under cyclic fatigue loading, and therefore, further related research will contribute to a better understanding of this complex research area.
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\nThe present research study aims to investigate the fatigue bond behavior at the FRP-to-concrete interface of EB-FRP strengthened RC structures. To this end, in the first phase of this study, a literature-review is conducted to identify the parameters affecting the fatigue bond mechanism at the FRP-to-concrete interface. Indeed, it is indicated that carbon FRPs (CFRPs) can provide better fatigue resistance than other FRP composites, such as glass and aramid FRPs.
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\nAn experimental investigation is conducted in the second phase of this study to fill existing gaps in the literature regarding the FRP-to-concrete bond behavior. A series of double-lap shear tests on CFRP-to-concrete bonded joints are designed to evaluate the interfacial behavior as a function of different variables, such as the FRP composite type (CFRP laminate vs. CFRP fabric sheet), the FRP-to-concrete width ratio (bonded FRP width to concrete width), and the FRP bond length under both monotonic and cyclic loading. The results of this experimental program demonstrate the superior performance of the CFRP composite bonding system using fabric sheet over the CFRP laminate in terms of bond ultimate resistance under monotonic loading and bond fatigue life under cyclic loading. Furthermore, increasing the CFRP-toconcrete width ratio was found to improve the bond behavior against the debonding failure mode under both loading conditions. As for the bond length, further discussions are presented to evaluate this parameter on the bond behavior, with emphasis on determining the effective bond length under both monotonic and cyclic loading conditions.
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\nBy incorporating the current experimental results and research data available in the literature, analytical studies are conducted to develop the following two models: 1) a bond stress-slip relationship under monotonic loading; and 2) a fatigue-life prediction model of CFRP-toconcrete bond under cyclic loading. Both models are shown to perform satisfactorily when validated against the selected database and can be an effective tool for predicting the bond behavior at the CFRP-to-concrete interface of concrete structures strengthened in shear with CFRP composites.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow)
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 score0.044
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0040.001
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 head0.012
GPT teacher head0.260
Teacher spread0.248 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

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