Biodegradation and Debonding Detection of Composite-wrapped Wood Structures
Bibliographic record
Abstract
In this article, a methodology is presented for detecting biodegradation and debonding damage in composite-wrapped wood structures using a coplanar capacitance sensor. The presence of damage in the composite/wood interface alters the dielectric characteristics, causing a variation in the measured capacitance by the sensor. The theoretical background employed in developing the proposed capacitance technique is highlighted. A glass fiber reinforced polymers (GFRP)-wrapped wood column, containing pre-induced defects to simulate biodegradation damage and debonding of the GFRP at the composite/wood interface, was constructed and inspected in a laboratory setting. A coplanar capacitance sensor was designed and used for the inspection of simulated defects of different severity. The capacitance signals were measured and the sensor sensitivity was evaluated for each defect type. The proposed technique can be used for rapid damage screening, scheduled or random inspection, or as permanent sensor network within the composite/wood system as a structural health monitoring technique.
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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) | 0.000 | 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 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".