Modelling the fire behaviour of FRP wrapped square reinforced concrete columns
Bibliographic record
Abstract
Numerous applications of fibre-reinforced polymers (FRPs) have demonstrated good performance in retrofitting and repairing deteriorated reinforced concrete structures, both through research studies and through field applications. However, a paucity of available information on FRP strengthening systems at elevated temperatures, and the perceived susceptibility of these systems in fire, still discourages their use in many applications. As such, an experimental and analytical study is underway to study the fire behaviour of FRP strengthened square reinforced concrete columns. The ultimate goal of the study is to develop validated numerical models which can subsequently be used to suggest design guidelines for these types of structural members. This paper presents details of the numerical procedure used to develop a coupled heat transfer and structural analysis model for FRP strengthened square RC columns in fire. The paper also discusses the procedure to be used for upcoming fire endurance tests on two FRP-strengthened square concrete columns which will be performed in an attempt to validate the numerical models.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".