Design Of Punching Shear Of R.C. Footings Using American And European Codes: A Comparative Study
Bibliographic record
Abstract
The current study evaluate the various selected design codes using an intensive collection of reinforced concrete (RC) footings, which were tested under punching shear.Three design codes were selected including ACI 318-19, EC2, and second generation of Euro code (PrEC2).The effect of the main parameters on the safety of the punching shear capacity calculated using selected methods was examined.It was found that the PrEC2 strength predictions are the closer to measurements and the most reliable.The safety of the punching shear predicted using the ACI is directly proportional with the flexure reinforcement ratio While the safety predicted using the EC2, and PrEC2 design codes is inversely proportional.This is due to the EC2, and PrEC2 design codes considered the flexure reinforcement ratio while the ACI neglected its effect.The spring simulation of the subsoil, provide capacity compared to the sand box model with respect to those obtained experimentally.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".