Distributed Sensing to Assess the Impact of Support Conditions on Slab Behaviour
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>Support conditions, specifically axial restraint, have a significant impact on the behaviour and load carrying capacity of flexural members such as slabs. However, in conventional design these beneficial effects are ignored since they cannot be accurately quantified. In the current work two reinforced concrete one-way slab specimens were tested in three point bending with and without axial restraint. Each specimen was instrumented with distributed fibre optic strain sensors to assess the impact of the support conditions on the internal strain behaviour. The load deflection data for the two specimens is used to assess the impact of the support conditions on stiffness and capacity. The internal strain data is used to evaluate the degree of support restraint and the impact on the internal stress state for each specimen.</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