Increasing the Punching Shear Capacity of Flat Plate Reinforced Concrete Utilizing CFRP Warp and Bar
Bibliographic record
Abstract
This research investigates the use of carbon fiber reinforced polymer (CFRP) sheet and bar in concrete to increase punching shear capacity.The study focuses on the use of 1000×1000×100 mm 3 reinforced flat plates and their flexure in both directions.The flat plates are subjected to a single-point load and a column stub.CFRP has a high modulus of elasticity and low coefficient of thermal expansion.Fifteen reinforced concrete flat plates were investigated, with three without FRP as control flat plates and twelve divided into two groups.The results showed that using CFRP composites to reinforce slabs at columns postponed the first slab flexural fractures, resulting in an increase in slab 2's ultimate punching shear capacity of 127.4 kN to 141.2 kN and a rise in sustained deflection from 33 mm to 46 mm.Strengthening slabs with CFRP delays the onset of concrete cracking and increases the initial slab stiffness by about 20% compared to an non-reinforced slab.Ultimate punching shear capacity improved using CFRP, making it on par with the slab without apertures.This research highlights the importance of using CFRP in concrete manufacturing systems to prevent failures and ensure long-term stability.
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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".