Temperature-Insensitive Strain Sensor Based on Microsphere-Embedded Core-Offset Fiber With High Sensitivity
Bibliographic record
Abstract
Strain sensor with low temperature crosstalk over large strain range is essential for field monitoring of structural safety. We develop a tension-compression strain sensor with high strain sensitivity, large strain range, low temperature, and polarization crosstalk due to many high-order modes interferences from asymmetric off-core microsphere-waveguide. It is based on BaTiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> (BTO) microsphere embedded on the surface of the silica core-offset fiber via negative thermal coefficient UV glue. Multi-beam reflection and whispering-gallery modes (WGMs) in the microsphere enhance the multi-mode interference, and then improve the strain sensitivity to 17.29 pm/μϵ, which is three times higher than that without microsphere, along with the temperature sensitivity of -0.87 pm/°C, and the strain accuracy of 0.5 μϵ. Thanks to the reduced effective Young's modulus by microsphere and UV glue on an asymmetric core-offset structure, strain range of tension and compression is increased to 153.2 mϵ.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".