Strengthening of interior circular column-slab region incorporating combinations of bonded UHPECC layer, CFRP sheets, and threaded steel bolts
Bibliographic record
Abstract
This study aims to address safety concerns related to punching shear failure in flat slabs, which are widely used in construction for their versatility and cost-effectiveness. The research explores innovative strengthening measures to enhance the punching shear capacity of flat slabs. The study employed Ultra-High-Performance Engineered Cementitious Composites (UHPECC) as a bonded concrete overlay on the tension side of the slab, combined with bonded carbon fiber-reinforced polymer (CFRP) sheets for indirect flexural strengthening and threaded steel bolts for direct shear strengthening. Five 1000×1000×100 mm square flat slabs with central circular columns were constructed and tested to collapse. The results demonstrated that the combination of UHPECC overlay, CFRP sheets, and threaded steel bolts significantly enhanced the punching shear capacity, with an increase ranging from 63 % to 92 % over the unstrengthened slab. The experimental findings confirm that the proposed technique effectively augments the punching shear capacity of flat slabs. Additionally, a finite-element (FE) model developed to predict the behavior of the tested slabs showed good alignment with the experimental results, validating the efficacy of the strengthening measures.
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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) | 0.001 | 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".