Ultimate strength analysis of pitted plates with transverse cracks
Bibliographic record
Abstract
Numerical analysis using computer code ANSYS was employed to analyze the ultimate strength of pitted plates with transverse cracks under uniaxial compression. It was found that pitting was more critical in the thick plate and cracking in the thin plate, and the plate with a center crack had the lowest effect on the reduction of the ultimate strength, regardless of the crack length and thickness of the plate. For small cracks, plates with two edge cracks had a lower reduction factor than plates with a single edge crack, while for long cracks it was vice versa. The maximum reduction factor of the ultimate strength of the cracked plate occurred in thin plates with two edge cracks. The results showed that the combined effect of cracking and pitting reduced the ultimate strength of the plate by up to 400% and 50% with respect to cracking and pitting alone, respectively. Thus, it can be concluded that cracking of plates prior to pitting is more detrimental, since sharp decreases of the ultimate strength.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".