Fiber Optic Sensors for Strain Measurement of CFRP-strengthened RC Beams
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
There is a growing need for built-in monitoring systems for new and aging civil engineering structures, due to problems such as increasing traffic loads and rising costs of maintenance and repair. Fiber optic sensors FOS), capable of reading strains, loads, deflections, and temperature are promising candidates for life-long health monitoring of these structures. However, since FOS have only been introduced recently into the field of structural monitoring, their acceptance and widespread implementation will be conditioned by their durability under severe climatic and loading conditions. This article reports on the performance of strain extrinsic FOS attached to carbon fiber-reinforced polymer CFRP) plates used to strengthen concrete structures. The specimens tested in this project are reinforced concrete RC) beams with an additional external CFRP reinforcement. The strain data obtained from the FOS were compared with data obtained from collocated electrical strain gauges. The FOS-instrumented beams were first subjected to fatigue loading for various numbers of cycles and load amplitudes. Then they were tested monotonically for failure under four-point-bending. The test results provide an insight on the fatigue and postfatigue behavior of FOS used for strain measurement in reinforced concrete structures.
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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