Wide-range strain sensor based on Brillouin frequency and linewidth in an As<sub>2</sub>Se<sub>3</sub>-PMMA hybrid microfiber
Bibliographic record
Abstract
We propose a wide-range strain sensor based on Brillouin frequency and linewidth in a 50 cm-long As 2 Se 3 -polymethyl methacrylate (As 2 Se 3 -PMMA) hybrid microfiber with a core diameter of 2.5 µ m. The distributed information over the hybrid microfiber is measured by a Brillouin optical time-domain analysis (BOTDA) system. The wide dynamic range strain from 0 to 15000 µ ɛ is enabled by measuring the Brillouin frequency and linewidth due to the low Young’s modulus of As 2 Se 3 core and the high mechanical strength of PMMA cladding. The deformation of the As 2 Se 3 -PMMA hybrid microfiber is observed when the strain is greater than 1500 µ ɛ by measuring the distributed Brillouin frequency and Brillouin linewidth over the 50 cm-long hybrid microfiber. The measured errors based on the Brillouin frequency in the range of 0-1500 µ ɛ and 1500-15000 µ ɛ are 42 µ ɛ and 105 µ ɛ, respectively. The measured error based on the Brillouin linewidth is 65 µ ɛ at 0-1500 µ ɛ and the maximum error is 353 µ ɛ when the tensile strain is 15000 µ ɛ. No strain memory effect is observed compared with the polymer optical fiber due to Young’s modulus in As 2 Se 3 is larger than that in polymer. Numerical simulations are developed to accurately predict the strain dependence of Brillouin frequency in the As 2 Se 3 -PMMA hybrid microfiber.
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".