Stress Intensity Factor Solution Comparison for Very Long Circumferential Flaws in Cylinders Using Finite Element Analysis
Bibliographic record
Abstract
Abstract Section XI of the ASME Boiler and Pressure Vessel Code provides analytical evaluation procedures to determine the acceptability of flaws detected during in-service inspection of structural components and piping. Linear elastic fracture mechanics-based evaluation procedures require calculation of the stress intensity factor. Article A-3000 of Appendix A in Section XI provides closed-form relations for the stress intensity factor influence coefficients at both the deepest and surface points of the flaw, which were developed based on tabular data in API 579-1/ASME FFS-1 2007. The API 579-1/ASME FFS-1 2007 data do not cover very long flaws, e.g., flaws close to being fully circumferential flaws. Stress intensity factor solutions are provided by separate equations for fully circumferential flaws in Article A-3000, but there is no guidance on evaluating very long flaws that are beyond the current closed form solutions and still fall short of being fully circumferential. Finite element calculations have been performed to obtain stress intensity factors for very long circumferential flaws in cylinders. The finite element results are used to assess the applicability of the current closed-form relations in Section XI Appendix A to very long circumferential flaws on the inside and outside surfaces of cylinders. The paper presents the finite element results and assessment of the applicability of the current Section XI equations.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".