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Record W3154574186

Creep Rupture Phenomenon of Glass Fibre Reinforced Polymer (GFRP) Bars in Severe Environmental Conditions

2020· dissertation· en· W3154574186 on OpenAlexaboutno aff
Callum James Harper

Bibliographic record

VenueTSpace · 2020
Typedissertation
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsnot available
Fundersnot available
KeywordsFibre-reinforced plasticCreepComposite materialMaterials sciencePolymerForensic engineeringEngineering
DOInot available

Abstract

fetched live from OpenAlex

Glass fibre reinforced polymer (GFRP) bars are becoming popular as a non-corroding alternative to steel reinforcement in concrete structures. This research investigates the long-term performance of two different sized GFRP bars under sustained stress in a highly alkaline solution at room temperature and at 60 oC with the aim of estimating safe stress for 100-year service life through the creep-rupture phenomenon. Under the most severe combination of temperature and environment, the safe stresses of the two bars were 28% and 18% of their ultimate tensile strength of about 1000 MPa. For room temperature tests, the safe stress was in the range of 43% to 45% of the ultimate strength. A supplementary creep rupture test series on a third bar type was conducted at a manufacturer’s facility in Dubai on straight and bent GFRP bars. The data from the supplementary tests are analyzed and discussed in comparison with the Toronto tests.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.243
Teacher spread0.236 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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