Developing FFS software for fitness-for-service assessment of equipment with hydrogen blistering damage based on API 579-1/ASME FFS-1
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
Corrosion and metal degradation are inevitable phenomena in various industries, and using Standards that provide detailed assessment to evaluate the structural integrity of an in-service damaged component is absolutely essential. Among all existing Standards, API 579-1/ASME FFS-1 is a well-known assessment standard recognized as Fitness-For-Service (FFS) assessment and is employed in various industries to assess the structural integrity of in-service pressure vessels and storage tanks that may contain a flaw or damage. In this study, software for the FFS evaluation was developed according to Part 7 of the third edition of the AP1579-1/ASME FFS-1 and was written using C# programming language. This software is developed for low-strength ferritic steel pressurized components with hydrogen blistering (HB) damage, in order to facilitate decision making on run-repair-replace of an in-service damaged component.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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