Shear Design of High and Normal Rc Beams Without Web Reinforcement
Bibliographic record
Abstract
This work examines the major parameters that influence the shear strength of reinforced concrete ( RC ) beams without web reinforcement . These include the shear span / depth ( a / d ) ratio ( between 2.0 and 7.1 ) , concrete compressive strength f . ( between 20.0 MPa and 101.9 MPa ) , the longitudinal steel ratio ( p ) ( between 0.00251 and 0.06620 ) , and beam size ( bnd ) . 271 RC beams failing in shear available in the literature are used to study the effect of the indicated major parameters on the strength of Normal Strength Concrete ( NSC ) and High Strength Concrete ( HSC ) . Proposed design equations are compared with the existing shear design relationships of the ACI Code 318M - 02 , BS 8110 , Canadian Code , New Zealand Code and Zsutty equation to predict the shear capacity of RC beams . For all methods considered , the ratio of shear strength of beams VTTEST to the design shear resistance VrDES is calculated . The proposed design equations lead to safe design with a low coefficient of variation ( COV ) . This COV is only 18.6 percent which is significantly less than values obtained for other methods ( ranging between 28.5 to 43.3 percent ) .
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 0.001 |
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".