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Record W2779729608 · doi:10.1016/j.egypro.2017.11.290

FRP Properties Effect on Numerical Deformations in FRP Bars-Reinforced Concrete Elements in Hot Zone

2017· article· en· W2779729608 on OpenAlexaff
Ali Zaidi, Mohammed Moulay Brahim, Kaddour Mouattah, Radhouane Masmoudi

Bibliographic record

VenueEnergy Procedia · 2017
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsFibre-reinforced plasticMaterials scienceComposite materialTransverse planeBrittlenessCrackingStructural engineeringSofteningTension (geology)Finite element methodBar (unit)ThermalUltimate tensile strengthEngineeringGeology

Abstract

fetched live from OpenAlex

Fiber reinforced polymer (FRP) bars exhibit higher thermal properties in transverse direction with respect to concrete. This difference in transverse thermal properties between FRP and concrete may affect transverse thermal deformations and consequently cracking thermal loadings producing failure of concrete cover. This paper presents a numerical study to investigate the effect of thermal and mechanical properties of FRP bars on circumferential thermal deformations of concrete cylinders axially reinforced with FRP bars under temperature increase up to 60°C using nonlinear finite element models. For concrete in tension, a stress–strain relationship with tension softening is used. Whereas, unidirectional FRP bar behavior is considered linear elastic/brittle. The numerical simulation results show significant effects of FRP bars-transverse elasticity modulus on the evolution of transverse thermal deformations in concrete cylinders reinforced with FRP bars under the temperature increase.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.011
GPT teacher head0.222
Teacher spread0.211 · 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 designSimulation or modeling
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

Citations8
Published2017
Admission routes1
Has abstractyes

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