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Record W246895103 · doi:10.5006/c2005-05137

Modeling Pipeline Corrosion within a Disc-Shaped Crevice for Various Cathodic Protection Levels at the Holiday and the Effect of Crevice Geometry

2005· article· en· W246895103 on OpenAlexaff
Frank Song, Daniel A. Jones, Donald W. Kirk

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCrevice corrosionCathodic protectionMetallurgyPipeline (software)Materials scienceCorrosionEngineering drawingMechanical engineeringEngineeringElectrochemistryElectrodeChemistry

Abstract

fetched live from OpenAlex

Abstract A deterministic model was developed to predict the pipeline corrosion rate within a disc-shaped crevice in the presence of oxygen (O2) and cathodic protection (CP). The model results from modification of a previous model that we developed to describe pipeline corrosion in a rectangle crevice. Using this disc crevice corrosion model (DCCM), the effect of the geometrical parameters of the crevice (crevice gap, the holiday size and the thickness of the coating) on the corrosion rate, the effect of various levels of CP and the effect of temperature on the crevice corrosion rate and potential were investigated. O2 transport through both the holiday and the disbonded coating was included. This work provided insight into the mechanisms of CP in protection of pipelines and the significance of crevice geometry and temperature to the DCC rate.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.027
GPT teacher head0.281
Teacher spread0.255 · 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 designSimulation or modeling
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
Published2005
Admission routes1
Has abstractyes

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