Flexural behavior of recycled aggregate concrete beams strengthened with carbon fiber reinforced polymer
Bibliographic record
Abstract
Using recycled aggregate in the construction of reinforced concrete (RC) buildings has become essential to reduce the waste produced from demolished buildings. In this paper, the influence of using carbon fiber reinforced polymer (CFRP) in strengthening of RC beams with recycled coarse aggregate (RCA), as a partial/full replacement for natural coarse aggregate (NCA), was experimentally investigated. Twelve RC beams with various RCA ratios (0%, 30%, 70%, and 100%) were prepared and tested under four-point loading. Four beams without CFRP were tested till failure while the other eight beams were subjected to service loads then strengthened using CFRP and re-tested till failure. The cracking pattern, deflection, as well as strain in longitudinal and transversal reinforcement were recorded. The failure loads of the tested beams were compared to those predicted from various international design codes. Results showed that the flexural cracks appeared in specimens with 100% RCA earlier than those with NCA. Moreover, the increase in RCA% resulted in resisting tensile stresses by stirrups at a lower load value and achieving a more ductile behavior. Also, the experimental results showed that including RCA in beams slightly decreased the failure load for both strengthened and un-strengthened RC beams. Furthermore, beams with higher amount of RCA experienced more deflections than those with lower amount of RCA. Such behavior was found more prominent in the CFRP strengthened beams.
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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 | 0.000 | 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".