Opening effect on punching shear strength of RC slabs
Bibliographic record
Abstract
Punching shear failure can happen in reinforced concrete flat slabs due to the development of high shear stresses in the slab-column connection area. These shear stresses are increased when openings are created, since the presence of openings reduce the concrete area that sustains the shear stresses. In this paper, finite element analysis (FEA) with the damaged plasticity model for concrete in ABAQUS is performed to simulate the opening effect in reinforced concrete slabs without shear reinforcement. A previously tested and analyzed interior slab-column connections is considered. The effect of the location and the size of the opening on the punching shear resistance are investigated. The punching shear capacity of the analyzed specimens is calculated using the equations of two current design provisions for punching shear (ACI 318-14, Eurocode2-2004) and compared with the numerical results. A probabilistic analysis using Monte Carlo simulation for both design codes is considered. Finally, fragility analysis is performed in order to estimate the probability of the estimated punching shear resistance related with the opening size and distance.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".