Enhancing flexural and shear capacities of RC T-beams with FRCM incorporating a full FRCM-concrete bond
Bibliographic record
Abstract
This study investigates the effectiveness of fabric-reinforced cementitious matrix (FRCM) systems in enhancing the flexural and shear capacities of reinforced concrete (RC) T-beams. The study also includes a comprehensive review of existing experimental tests on FRCM-strengthened beams, highlighting key trends and gaps in the literature. It reveals the limited scope of previous research, particularly the scarcity of full-scale T-beam studies, and the variability in reported outcomes due to differences in surface preparation methods and failure modes. In this study, five full-scale T-beams were tested: three strengthened with FRCM and two control specimens. A meticulous surface preparation involving substrate grooving is used to achieve a complete bond between the FRCM and concrete to prevent common debonding and to obtain a full utilization FRCM. Flexural strengthening improved maximum load by up to 22.7 %, with failure dominated by fiber rupture and concrete crushing. Shear strengthening enhanced load-bearing capacity by 19 %, transforming brittle shear failure into ductile flexural failure. • FRCM improved flexural capacity by 22.7 % and shear capacity by 19 %. • FRCM delayed steel yielding by up to 23.5 %, improving serviceability under loads. • Grooving surface preparation ensured strong FRCM-concrete bonds. • U-shaped FRCM wraps on shear-deficient beams altered failure modes.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".