Performance of fire of FRP-confined reinforced concrete columns
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Over the past decade, research has shown that fibre reinforced polymers (FRPs) can be efficiently, economically, and safely be used for strengthening and rehabilitation of reinforced concrete (RC) structures. However, relatively little is known about the behaviour of FRP materials at high temperature, and this is a primary factor limiting the widespread application FRP materials in buildings, parking garages, and industrial structures. This paper presents the results of a numerical and experimental program to investigate the fire performance of FRP-wrapped (confined) RC columns. The primary objectives of this research project were: to experimentally investigate the behaviour in fire of FRP-wrapped and insulated RC columns; to develop numerical models to simulate the behaviour in fire of these members; to investigate techniques to improve their behaviour in fire; and to use data from experimental and numerical studies to provide fire-design guidance. Experimental data are presented from full-scale fire endurance tests conducted on three FRP-wrapped RC columns at the National Research Council of Canada (NRC). A numerical model is presented, which is capable of predicting the thermal and structural response of an FRP-wrapped concrete column under exposure to a standard fire. The model is shown to adequately predict the observed response of FRP-wrapped columns in fire. It is demonstrated that, while currently available FRPs are sensitive to the effects of elevated temperatures, appropriately designed and insulated FRP-wrapped RC columns are capable of achieving satisfactory fire endurances.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it