Study of damage induced by extreme thermal cycling in cyanate ester laminates and sandwich panels
Bibliographic record
Abstract
Composite materials are sensible to temperature variations which can lead to the development of internal stresses. The induced stresses may be large enough to damage the material. The objective of this study is to evaluate the effects of extreme temperature cycles on three cyanate ester laminates and one sandwich panel. Thermal cycles going from −170℃ to 145℃ were conducted up to 360 cycles. Microscopic observations of the edges and the middle section of the specimens were performed to evaluate damage growth. Three types of damage were observed in the laminates: transverse microcracks, debonding between the fibers and the matrix and to a limited extent delamination. However, debonding between the fibers and the matrix were only visible on the edges of the laminates. The effect of the observed damages on the mechanical properties of the laminates was studied. Results show that properties influenced by matrix behavior were affected by thermal cycling.
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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 | 0.000 |
| 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) | 0.001 | 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".