Distributed Brillouin sensor for structural health monitoring
Bibliographic record
Abstract
The distributed Brillouin sensor (DBS) was used to monitor the structural changes in a steel pipe and a composite column subjected to heavy loads. The column was made of concrete reinforced with fibre-reinforced-polymer (FRP) rods and sheets. The test reproduced earthquake-like conditions. The pipe had a length of 2.58 m and diameter of 0.75 m. The DBS measured the strain distribution in both the concrete column and the pipe under various loads. The DBS provided detailed information on the structure's health at the local and global level, before any deformation, cracks, or buckling was visible. This work demonstrates that the DBS is capable of extracting critical information useful to engineers: the engineer's experience and judgement, in conjunction with appropriate data-processing methods, make it possible to anticipate structural failures. The DBS is a promising tool for structural health monitoring.Key words: structural health monitoring, distributed Brillouin sensor, concrete structure, pipeline buckling, strain measurement.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".