Assessing the Impact of Improper Placement on Reinforced Concrete Beam Behaviour
Why this work is in the frame
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Bibliographic record
Abstract
<p>The recent construction booms in Dubai and China have often required the use of unskilled labour, which can lead to defects in the structure such as voids in reinforced concrete members. The goal of this research was to use sensors to explore the impact of poor concrete placement on reinforced concrete behaviour. Two beam specimens were constructed: a control, which was well vibrated, and a defective beam, which was not well vibrated resulting in extensive voids. Distributed fibre optic strain sensors were installed on both the longitudinal and transverse reinforcement bars. Digital image correlation was used to track crack development. It was found that the poor concrete placement had no impact on stiffness, capacity or failure mode. The distributed strain and digital image correlation data highlighted subtle differences in strain and cracking behaviour between the two specimens.</p>
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it