Corrosion Effects on the Strength of Steel Pipes Using FEA
Bibliographic record
Abstract
This paper presents a finite element investigation on the strength and deformation characteristics of corroded steel pipes with corrosion on the exterior and interior surfaces of the pipes considering different corrosion parameters such as circumferential extent (width) of corrosion, ratio of corrosion width to pipe diameter and the locations of corrosion. The finite element analysis was performed using a commercially available general purpose finite element program, ABAQUS/Explicit. The study reveals that localized bending develops on the pipe wall within the corroded zone that extent up to a certain distance (1 to 1.5 times the corrosion dimension) in the non-corroded area. The localized bending causes stress concentration in the vicinity of the corroded area that is not well captured in the current design standards (i.e. modified ASME B31G). As a result, the modified ASME B31G method overestimated the pipe capacity comparing to the capacity calculated based on the finite element analysis. A pipe designed using the modified ASME B31G method is expected to provide a factor of safety less than the design factor of safety. The effects of circumferential extent of corrosion appears to be less compared to the effects of longitudinal extent of corrosion. The exterior corrosion was found to be more detrimental in comparison with the interior corrosion.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".