Revealing fundamental flexural behavior of reinforced concrete slabs using distributed fiber optic sensors
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Distributed fiber optic sensors (DFOS) allow for the measurement of distributed strains on concrete surfaces and along steel reinforcement in reinforced concrete (RC) members, and these measurements can quantify reinforcement and concrete behavior. In this investigation, concrete surface and reinforcement strains from DFOS were used to quantify and compare the structural behavior of lightly and moderately reinforced one‐way slabs strips to better characterize localized strain behavior of lightly reinforced RC members with small diameter bars (10 M). By quantifying the entire compression region and reinforcement strain behavior, various structural parameters, such as curvature, strain profiles over the height at various locations, and neutral axis depth were calculated. From the distributed properties, it was determined that significant differences in behavior existed between moderately and lightly reinforced specimens with small diameter bars, with the lightly reinforced specimen displaying non‐uniform behavior along its length. Differences observed in the lightly reinforced member with small diameter bars include local curvature differences both at a crack and between cracks, local evidence of plane sections not remaining plane, possible different internal cracking mechanisms, amongst other local strain behavior differences, which could have implications for future modeling and design of lightly reinforced RC members with small diameter bars.
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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) | 0.001 | 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