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Record W2796547592 · doi:10.5006/2715

Occurrence of Near-Neutral pH Stress Corrosion Cracking in X80 and X100 Pipe Steels Under Various Cathodic Protection Conditions

2018· article· en· W2796547592 on OpenAlexaff
Yan Li, Jean‐Philippe Gravel, Jidong Kang, Luyao Xu, Muhammad Arafin

Bibliographic record

VenueCORROSION · 2018
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsStantec (Canada)Natural Resources Canada
Fundersnot available
KeywordsCathodic protectionMaterials scienceMetallurgyStress corrosion crackingCorrosionCrackingCarbon steelComposite materialElectrochemistryChemistryElectrode

Abstract

fetched live from OpenAlex

In this work, proof ring tests with a duration of 220 d were performed to investigate the effect of cathodic protection (CP) on the occurrence of stress corrosion cracking (SCC) of X80 and X100 pipe steels in near-neutral pH environment. Various CP conditions were used in the study to mimic the possible CP circumstances occurring in the field, i.e., under-protection, standard-protection, and over-protection. Also, the delayed CP conditions, i.e., 110-d without CP followed by 110-d with CP, were applied to simulate the interruptions of CP in the real world. The results showed that a sufficient continuous CP could prevent the occurrence of SCC cracks. Under a given condition X100 steel tended to form deeper cracks than X80 steel. The cracks formed in both X80 and X100 steels exhibited normal/quasi-normal depth distributions. Only a small fraction of cracks would propagate deep into the steel. For X80 steel, with CP no higher than −776 mV, CP exhibited an inhibiting effect on both SCC crack initiation and propagation, and the inhibiting effect increased with CP level. For X100 steel, it was indicated that hydrogen effect played a more significant role in crack initiation compared to that in X80 steel. The application of CP would retard the crack growth in X100 steel, but promote more cracks to form. Under the delayed CP conditions, the growth of cracks developed in X80 steel could be effectively controlled by the delayed CP of −776 mV; for the deeper cracks formed in X100 steel, a CP level higher than −776 mV was needed to achieve an effective control on the growth. For both materials, the delayed CP of −1,126 mV would enhance crack initiation.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.017
Threshold uncertainty score0.903

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.296
Teacher spread0.266 · 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 teacher head, 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

Citations3
Published2018
Admission routes1
Has abstractyes

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