Field Monitoring of RC-Structures under Dynamic Loading Using Distributed Fiber-Optic Sensors
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
The ability to properly assess existing reinforced concrete (RC) structures provides an opportunity to prevent costly rehabilitations or replacements and aid in the optimization of future designs. Distributed fiber-optic sensing (DFOS) is a promising option in the assessment of these complex structures. Previous uses of this technology, however, have been limited to static measurements, prohibiting the assessment of structures exposed to dynamic loads. This research intends to assess the dynamic sensing capabilities of a DFOS system and, in turn, improve the current understanding of the dynamic behavior of an existing RC beam tested in situ through a case study. Based on the data provided by the dynamic distributed fiber-optic sensors (DDFOS), dynamic measurements of distributed strains, distributed deflections, and crack widths can all be provided. Further details regarding the use of the DDFOS system in assessment, including the determination of support conditions and dynamic response factors, are presented and discussed.
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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