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Record W7017491965

Behaviour of continuous concrete deep beams reinforced with GFRP bars

2021· dissertation· en· W7017491965 on OpenAlexaboutno aff

Bibliographic record

VenueBradford Scholars (University of Bradford) · 2021
Typedissertation
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsnot available
Fundersnot available
KeywordsReinforcementFibre-reinforced plasticBeam (structure)Reinforced concreteShear (geology)Compressive strengthShear strength (soil)
DOInot available

Abstract

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This research aims to investigate the behaviour of glass fibre reinforced 
\npolymer bars (GFRP) reinforced continuous concrete deep beams. For this 
\npurpose, experimental, analytical and numerical studies were conducted.
\nNine continuous concrete deep beams reinforced with GFRP bars and one 
\nspecimen reinforced with steel bars were experimentally tested to failure. The 
\ninvestigated parameters included shear span-to-overall depth ratio (𝑎/ℎ), size 
\neffect and web reinforcement ratio. Two 𝑎/ℎ ratios of 1.0 and 1.7 and three 
\nsection heights of 300 mm, 600 mm and 800 mm as well as two web 
\nreinforcement ratios of 0% and 0.4% were used. The longitudinal 
\nreinforcement, compressive strength and beam width were kept constant at 
\n1.2%, ≈55 MPa and 175 mm, respectively. The web reinforcement ratio 
\nachieved the minimum requirements of the CSA S806-12. The experimental 
\nresults highlighted that the web reinforcement ratio improved the load 
\ncapacities by about 10% and 18% for specimens having 𝑎/ℎ ratios of 1.0 and 
\n1.7, respectively. For specimens with web reinforcement, the increase of 𝑎/ℎ
\nratio from 1.0 to 1.7 led to reductions in the load carrying capacity by about 
\n33% and 29% for beams with overall depths of 300 mm and 600 mm, 
\nrespectively. Additionally, a considerable reduction occurred in the shear 
\nstrength due to the increase of the section depth from 300 mm to 600 mm. The 
\nexperimental results confirmed the impacts of web reinforcement and size 
\neffect that were not considered by the strut-and-tie method (STM) of the only 
\ncode provision, the Canadian S806-12, that addressed such elements. 
\nIn this study, the STM was illustrated and simplified to be adopted for GFRP 
\nRC continuous deep beams, and then, the experimental results obtained from 
\nthis study were employed to assess the performance of the effectiveness 
\nfactors suggested by the STMs of the American (ACI 318-2014), European 
\n(EC2-04) and Canadian (S806-12) codes as well as those factors 
\nrecommended by the previous studies to predict the load capacities. It was 
\nfound that these methods were unable to reflect the influences of member size
\nand/or web reinforcement reasonably, the impact of which has been confirmed 
\nby the current experimental investigation. Therefore, a new effectiveness 
\nfactor was recommended to be used with the STM. Additionally, an upper bound analysis was developed to predict the load capacities of the tested specimens considering a reduced bond strength of GFRP bars after assessing 
\nthe old version recommended for steel RC continuous deep beams. A good 
\nagreement between the predicted results and the measured ones was 
\nobtained with the mean and coefficient of variation values for 
\nexperimental/calculated results of 1.02 and 5.9%, respectively, for the STM 
\nand 1.03 and 8.6%, respectively, for the upper-bound analysis.
\nA 2D finite element analysis using ABAQUS/Explicit approach was carried out 
\nto introduce a model able to estimate the response of GFRP RC continuous 
\ndeep beams. Based on the experimental results extracted from the pullout 
\ntests, the interface between the longitudinal reinforcement and concrete 
\nsurface was modelled using a cohesive element (COH2D4) tool available in 
\nABAQUS. Furthermore, a perfect bond between the longitudinal reinforcement 
\nand surrounding concrete was also modelled to evaluate the validity of this 
\nassumption introduced by many previous FE studies. To achieve a reasonable 
\nagreement with the test results, a sensitivity analysis was implemented to 
\nselect the proper mesh size and concrete model variables. The suitability and 
\ncapability of the developed FE model were demonstrated by comparing its 
\npredictions with the test results of beams tested experimentally. Model 
\nvalidation showed a reasonable agreement with the experiments in terms of 
\nthe failure mode, total failure load and the load-deflection responses. The 
\nperfect bond model has overestimated the predicted results in terms of 
\nstiffness behaviour and failure load, while the cohesive element model was 
\nmore suitable to reflect the behaviour of those specimens. The validated FE 
\nmodel was then employed to implement a parametric study for the key 
\nparameters that govern the behaviour of beams tested and to achieve an in depth understanding of such elements. The parametric study showed that the 
\nhigher the 𝑎/ℎ ratio the more pronounced the effect of web and the longitudinal 
\nreinforcements and the lower the effect of concrete compressive strength; and 
\nvice versa when 𝑎/ℎ ratio reduces.

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 categoriesMeta-epidemiology (narrow)
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 score0.253
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.005
GPT teacher head0.186
Teacher spread0.181 · 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.

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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