Relationship Between Yield Strength and Near-Neutral pH Stress Corrosion Cracking Resistance of Pipeline Steels—An Effect of Microstructure
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Bibliographic record
Abstract
In this paper the relationship between the near-neutral pH stress corrosion cracking (SCC) resistance and the yield strength of pipeline steels was investigated and an attempt was made to understand the microstructural effect on such a relationship. Pipeline steels ranging from X52 to X100 steels and the weldments of X70 and X65 were adopted as the test materials and various heat treatments were used to achieve different microstructures and strength levels. The results indicate that the near-neutral pH SCC resistance of pipeline steel is reduced, generally, with an increase in the strength level, but the strength dependence of SCC resistance is heavily affected by the microstructures of the pipeline steels. The steels with a fine-grained, bainite-ferrite structure possess a much better combination of strength and SCC resistance than those with a ferrite + pearlite structure. However, the introduction of the welding process will significantly degrade SCC resistance in the steels containing a bainitic ferrite structure. This degradation effect is caused mainly by the decomposition of the bainitic ferrite structure into a separate microstructural entity. On the other hand, an increase in the pearlite content in the microstructure has a detrimental effect on the SCC resistance of pipeline steels with a ferrite + pearlite structure. The experimental results indicate that the SCC resistance of the pipeline steels in the near-neutral pH environment can be approximately correlated to the polarization resistance with a linear relation. This relationship is used to evaluate the microstructure effect of weldments on the SCC resistance. The applicability of this method is discussed briefly.
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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 | 0.000 | 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) | 0.000 | 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