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Record W4405360279 · doi:10.1115/ipc2024-133924

Mechanistic Insight on Intergranular Near-Neutral pH SCC Using Advanced Microscopy

2024· article· en· W4405360279 on OpenAlexaffabout
Fei Long, Ken Zhang, S.Y. Persaud, Mark R. Daymond

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsQueen's University
Fundersnot available
KeywordsIntergranular corrosionMicroscopyMaterials scienceNanotechnologyChemistryMetallurgyPhysicsOpticsMicrostructure

Abstract

fetched live from OpenAlex

Abstract Stress corrosion cracking (SCC) is a major pipeline degradation mode that often leads to leak or rupture during operation or hydrotest. Near neutral pH SCC was initially discovered to form beneath polyethylene-tape coatings in Alberta, Canada in the 1980s followed by reports from American operators. Unlike the well-studied high-pH SCC that is typically intergranular, previous metallurgical examination in laboratory studies suggest that near-neutral pH SCC is predominately wider and transgranular. The crack walls are often corroded heavily which makes studying the crack propagation mechanism challenging. In this work, advanced electron-microscopy techniques are applied to study the microstructural characteristics of near-neutral pH SCC in ex-service pipeline material. Firstly, 3D tomography of a SCC was carried out on a plasma FIB (focused ion beam), which revealed the development of cracks with a complex network structure from the external surface. Second, careful examination through scanning electron microscopy (SEM) revealed areas containing fine un-corroded cracks along the main path of the heavily corroded crack. To further reveal the characteristics of the fine cracks, through thickness trenches were made by FIB at the areas where un-corroded cracks were observed. The subsequent 2D imaging revealed that the cracks developed along grain boundaries, as opposed to what conventionally is believed i.e., that near-neutral pH SCC develops transgranularly. Lastly, TEM (transmission electron-microscopy) characterization was carried out on FIB lift-outs from the fine un-corroded cracks. Through electron diffraction, the intergranular nature of the fine cracks was determined. The local plasticity was also quantified by comparing the dislocation densities in the grains where fine cracks developed, to the overall dislocation densities in the pipeline. It is shown that no significant plasticity was involved with the development of fine cracks. Lastly, high resolution EDX (energy dispersive x-ray spectroscopy) revealed only oxidation occurred along the walls of the fine cracks, and no distinct foreign elements existed in the developing crack. The microstructural study revealed that the examined SCC did not require high stress intensity at the crack tip to propagate, which is in-line with the stress analysis based on operational history and bending strain measurement at the locations. Alternative crack propagation mechanisms will be hypothesized and confirmed by in-lab simulated studies.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.014
GPT teacher head0.272
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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