Impact of Vertical and Diagonal Shear Reinforcement on the Structural Integrity of a Deep Beam
Bibliographic record
Abstract
This research investigates the shear strength behaviour of deep beams with different angles of inclinations of the transverse reinforcements with the longitudinal reinforcements. A mix ratio of 1:1½:3 of concrete was used in this investigation with a total number of three (3) deep beam models of 150×300×750 mm and the characteristic compressive strength of concrete used for the production of the beams was determined to be 14.5 N/mm2. The study concludes that the ultimate resisting load of the beam depends on the angle of inclination of the shear links and maximum with 90o inclination angle of the shear links which decreases with a decrease in the angle of inclination. Hence, all shear reinforcement must not be inclined at an angle other than 90o to the longitudinal reinforcement to avoid shear-compression failure along the shear diagonal.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".