Bibliographic record
Abstract
This paper describes current results of an ongoing program to develop a test verified analysis method for crack arrestment of bonded structures. Bonded specimens have been tested with and without fasteners, which to-date include a bonded double cantilever beam (DCB) (Mode I), double shear (Mode II), and a DCB-like pi-joint (Mode I) specimen. Finite element models utilizing the Virtual Crack Closure Technique (VCCT) for crack progression have been constructed and correlated to the tests, utilizing fracture toughness data measured using all zero and bonded layup fracture toughness tests. Utilizing the VCCT capability within ABAQUS, fasteners have been shown to arrest a crack growing in the DCB and double shear specimens, as well as cracks in the DCB pi-joint specimen. Tests of the DCB and Double Shear specimens verified these results, but further investigations are needed to resolve fastener pre-load force and crack face friction effects, especially for the Double Shear. Promising comparisons were achieved between the pi-joint DCB model and test data. This project is ongoing, and additional pi-joint Mode I and Mode II specimens are planned for future evaluations.
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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 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".