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Record W155621094

Performance of Structural Concrete Frames Reinforced with GFRP Grid

2004· article· en· W155621094 on OpenAlexaff
Aly Said, Moncef L. Nehdi

Bibliographic record

VenueDigital Scholarship - UNLV (University of Nevada Reno) · 2004
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsWestern University
Fundersnot available
KeywordsFibre-reinforced plasticStructural engineeringJoint (building)ReinforcementRebarDurabilityBeam (structure)DissipationReinforced concreteMaterials scienceComposite materialEngineering
DOInot available

Abstract

fetched live from OpenAlex

The use of fibre-reinforced polymers (FRP) rebar in structural applications has been getting increasing attention due to the advantages it offers over conventional reinforcement (e.g. durability, light weight, magnetic neutrality). A possible application of FRP rebar reinforcement is in the area of multi-storey structural frames. However, current design standards and detailing criteria for beam-column joints were established in the 1970’s and may be considered unsuitable for FRP reinforcement due to its different mechanical properties. During recent earthquakes, many structural collapses were initiated or caused by beam-column joint failures. There are no comprehensive seismic standards for the application of FRP materials. Consequently, research is needed to gain a better understanding of the behaviour of FRP materials and their interaction with traditional materials in such application in order to implement their use on solid grounds. In this study, two full-scale quasi-static loading tests were performed on beam-column joint specimens. The first test was performed on a joint specimen reinforced with steel and its behaviour was compared to that of a second similar test performed on a GFRP-reinforced joint specimen. It is shown that GFRP-reinforced frames can have satisfactory drift capacity, but their energy dissipation capacity is limited.

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 score0.358
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 communication0.0000.003
Open science0.0010.000
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 head0.008
GPT teacher head0.177
Teacher spread0.168 · 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".

Quick stats

Citations3
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueDigital Scholarship - UNLV (University of Nevada Reno)Same topicStructural Behavior of Reinforced ConcreteFrench-language works237,207