Fatigue life enhancement of fiber metal laminate materials as a result of hole cold expansion
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Fiber metal laminate materials (FML), based on a combination of aluminum and glass fibers are being promoted as potential replacements for aluminum based on their lower weight and increased fatigue life. One issue that has not been completely addressed is whether fatigue life enhancement techniques such as cold expansion are effective. Although both experimental and theoretical research has been performed looking at the effect of hole cold expansion in aluminum alloys no research has focused on measuring the fatigue life enhancement that could result from the cold expansion process in FML materials. To investigate the fatigue life enhancement associated with hole cold expansion the fatigue crack initiation period in fiber metal laminate materials both before and after cold expansion was measured. Fatigue crack growth studies were performed on FML 3-3/2 dogbone coupons and crack growth was monitored using a digital camera equipped with a high magnification zoom lens. The images were also analyzed using a digital image correlation system that allows measurement of surface strains during fatigue crack growth. The results showed that cold expansion is very effective in slowing macro-scale crack growth in fiber metal laminate materials but that it does not have a significant effect on retarding short crack formation.
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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 | 0.001 | 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) | 0.003 | 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