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Record W2605797823 · doi:10.5006/c2013-02175

Compatibility between Pipeline Anti-corrosion Coating and Thermal Insulator in the Presence of Cathodic Protection

2013· article· en· W2605797823 on OpenAlexaff
Sankara Papavinasam, Magdalene Matchim

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Integrity and Reliability Analysis
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsCathodic protectionCorrosionMaterials scienceCoatingCompatibility (geochemistry)Insulator (electricity)ThermalMetallurgyComposite materialElectrochemistryChemistryElectrode

Abstract

fetched live from OpenAlex

Abstract In this paper the disbondment characteristics of anti-corrosion coating below an intact insulator at 150 °C have been investigated. The anti-corrosion coating in such situation may be susceptible to water accumulation if the insulator deteriorates elsewhere providing entry point for water and the water subsequently migrates laterally along the pipeline. Under this situation, Cathodic protection (CP) may not reach the steel surface to protect it. To simulate this situation, the cathodic disbondment (CD) test was conducted using a specially designed experimental set up in which the pipe sample was titled to simulate the inclination of pipeline and to facilitate the lateral movement of water. During the test no lateral movement of water beneath an intact insulator was observed for over 150 days and the anticorrosion coating (beneath the intact insulator) did not undergo any change. However, the area of disbondment of anticorrosion coating in the adjacent section that was exposed directly to aqueous phase (i.e., outer insulator and polyethylene layers were removed before the test) was higher.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.020
GPT teacher head0.234
Teacher spread0.214 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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