Integrated digital imaging technique for correlation of damage evolution and stiffness degradation in non-crimp fabric composite materials under cyclic loading
Why this work is in the frame
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Bibliographic record
Abstract
A novel integrated digital imaging technique was developed to automatically characterize damage and simultaneously monitor stiffness degradation in non-crimp fabric glass fiber/reactive thermoplastic cross-ply laminates subject to tension–tension cyclic loading. Under a peak stress of 50 % UTS, the laminate exhibited four distinct stages of stiffness degradation, including a significant drop during the first cycle due to 90° fiber tow crack initiation, a gradual decrease due to crack multiplication and propagation up to saturation, a stable phase comprising localized delamination crack propagation, and a sudden drop prior to specimen failure. Under a peak stress of 75 % UTS, both 0° and 90° fiber tow cracks developed during the first stage followed by an accelerated growth rate and reduced 90° tow crack density at saturation. The integrated digital imaging technique proved to effectively correlate damage events with stiffness degradation, leading to a deeper understanding of the fatigue behavior of glass fiber/thermoplastic composites.
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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 | 0.001 |
| 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