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Record W2002360637 · doi:10.13034/cysj-2014-003

GFRP Bars in Structural Design: Determining the Compressive Strength versus Unbraced Length Interaction Curve

2014· article· en· W2002360637 on OpenAlexaffvenue
Edvard P.G. Bruun

Bibliographic record

VenueJournal of Student Science and Technology · 2014
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFibre-reinforced plasticCompressive strengthStructural engineeringMaterials scienceComposite materialEngineering

Abstract

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To mitigate the durability issues arising from steel reinforced structures, current research in the structural engineering field has been focused on the feasibility of replacing steel with corrosion resistant materials. A promising alternative has been glass fibre reinforced polymer (GFRP) bars as internal reinforcement. While extensive testing has certified that GFRP bars perform adequately as tensile reinforcement, structural design codes have yet to adopt provisions for its implementation as compressive reinforcement. Quantifying the compressive behaviour of GFRP bars – the rela­tionship between strength and unbraced length, as well as the modulus of elasticity – is the first step toward developing code provisions. This experimental program consisted of 34 specimens of 25M GFRP bars tested under di­rect compression; the lengths of the specimens were varied to establish the relationship between length and strength. A pure crushing failure with an ultimate compressive strength of 730 MPa was observed for all specimens under the nominal un­braced length of 230mm. Longer specimens failed through a global buckling of the bar, with ultimate compressive strength decreasing with increasing unbraced bar length. The average compressive modulus of elasticity was determined to be 60 GPa. Les structures renforcées par l’acier risquent souvent de manquer de durabilité. Pour mini­miser ce risque, des études actuelles dans le do­maine de l’ingénierie des structures se focalisent sur la possibilité de remplacer cet acier avec des matériaux qui sont plus résistants à la cor­rosion. Une nouvelle option possible pour ren­forcer les structures est le polymère renforcé de fibre de verre (PRF). Malgré le fait que les barres en PRF performent systématiquement de façon adéquate comme renforcement extensible, elles n’ont pas encore été adoptées par les codes de construction comme renforcement contre la compression. Pour pouvoir utiliser les barres en PRF selon le code, il faudra quantifier leur com­portement lorsqu’elles sont soumises à la com­pression, soit la module d’élasticité et la relation entre leur force et leur longueur. Ce programme expérimental comporte 34 ex­emplaires de barres PRF de 25M, sans support externe, qui ont été testés sous compression direct. La longueur des exemplaires varie pour mieux établir la relation entre longueur et force. Un échec total à cause de la compression après 730 MPa a été observé pour tous les barres en dessous de 230 mm. Les barres qui étaient plus longues que 230 mm se sont déformées sous compression; globalement, la résistance à la compression a diminuée lors de l’augmentation de la longueur de la barre. La moyenne de com­pression élastique a été déterminée à 60 GPa, selon les dimensions données par l’équipement utilisé au début de chaque essai. Cette valeur est identique à la moyenne publiée pour les barres sous tension.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.020
GPT teacher head0.294
Teacher spread0.275 · 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 source (direct Gemma or distilled Codex), 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

Citations23
Published2014
Admission routes2
Has abstractyes

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