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Record W2105523922 · doi:10.5006/1.3280682

Simplified Calculations of Impressed Current Anode Bed Resistance Underneath Tank Bottoms

2008· article· en· W2105523922 on OpenAlexaff
Alebachew Demoz, W. I. Friesen

Bibliographic record

VenueCORROSION · 2008
Typearticle
Languageen
FieldEngineering
TopicConcrete Corrosion and Durability
Canadian institutionsDevon Energy (Canada)
Fundersnot available
KeywordsCathodic protectionAnodeRibbonCurrent (fluid)CorrosionRule of thumbWork (physics)Materials scienceFinite element methodGalvanic anodeStructural engineeringMechanicsEngineeringComposite materialMechanical engineeringComputer scienceElectrical engineeringPhysicsElectrode

Abstract

fetched live from OpenAlex

Impressed current cathodic protection using uniformly distributed ribbon anodes has proven to be effective in controlling the corrosion of soil-side aboveground storage tank bottoms. Parallel and concentric ribbon anodes are two of the most common patterns of laying anode beds some distance underneath tank bottoms. At the design stage, the rule-of-thumb approach and historical data are used to determine the spacing between ribbon nodes. Computer-aided finite element analysis is potentially also available to assist in determining anode distributions. However, because of its complexity, this approach is not used frequently in practice. In this work, we address the design issue by taking a simplified approach based only on the geometries and the cathodic protection current requirement. The equations derived enable the determination (using a pocket calculator) of the number of concentric or parallel anodes, the spacing between them, and the anode bed resistances. Support of the derived resistance equations is established by comparing them with the well-known expressions for symmetrical geometries.

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)0.000
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 score0.418
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.240
Teacher spread0.213 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

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