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Record W4409500777 · doi:10.5006/c2023-19355

Corrosion under Insulation Behavior of Out-Of-Service Carbon Steel Pipes with and without Non-Metallic Stand-Off Membranes

2023· article· en· W4409500777 on OpenAlexaff
Ahmad Raza Khan Rana, George Jarjoura, Graham Brigham, Omar Chaar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicHigh voltage insulation and dielectric phenomena
Canadian institutionsDalhousie UniversityEmissions Reduction Alberta
Fundersnot available
KeywordsMaterials scienceCorrosionMetalMembraneCarbon steelCarbon fibersComposite materialMetallurgyChemistry

Abstract

fetched live from OpenAlex

Abstract CUI (corrosion under insulation) refers to the external corrosion on thermally insulated metals which mainly manifests as localized corrosion. The key driver behind the CUI is the soaked thermal insulation which results in both uniform and localized corrosion. There are many instances where the facility piping, and pipelines undergo flooding and submerging conditions which result in the soaking of insulation. The issue gets aggravated (i.e., prolonged soaking) for the pipes/ pipelines which are either mothballed or operate at or near the ambient temperatures. This study addresses the long-term CUI behavior of pipe assemblies applied with and without non-metallic stand-off membranes. The assemblies were submerged in water for 2 days followed by outdoor exposure for 01 year. The assemblies were tested for CUI behaviors via weight loss method and various characterization methods namely confocal laser topography and scanning electron microscopy.

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 score0.001
Threshold uncertainty score0.004

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 communication0.0000.000
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 head0.026
GPT teacher head0.268
Teacher spread0.243 · 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
Published2023
Admission routes1
Has abstractyes

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