An Investigation On Fire Performance Of FRP-strengthened Wc Beams
Bibliographic record
Abstract
As the use of Fibre-Reinforced Polymer (FRP) materials continues to expand into the structural repair market, concerns over the performance of these materials in fire conditions are now at the forefront of research. While externally bonded FRP sheets have been shown to successfully enhance the flexural and shear capacity of bridges and other structures, their application in interior spaces, where fire is a significant concern, remains questionable in light of these materials’ comparatively poor resistance to elevated temperatures. This paper presents the results of an ongoing study to document the performance of FRP-strengthened reinforced concrete beam-slabs exposed to fire. With such experimental results, fireproofing materials have the potential to earn standard performance ratings, which are essential to the design engineer and necessary for the continued increase of FRP applications worldwide. A brief synopsis of existing literature related to FRP behavior at high temperature is provided, in addition to a review of the current fire endurance criteria for structural members. Two large-scale concrete beam-slab assemblies were strengthened with FRP sheets and protected with a two-part patented fire insulation system. The results of fire tests performed on these specimens are presented herein, with emphasis placed on the temperatures measured in the specimens during fire exposure. The data obtained from the tests served to validate a numerical heat transfer model, which predicts the temperature within a strengthened and insulated reinforced concrete beam-slab assembly. Test results and model data indicate that appropriately designed and insulated FRP-strengthened beam-slab assemblies can achieve fire endurances of four hours or more.
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 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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".