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Record W1917492726 · doi:10.1109/icpst.2002.1047542

Performance of HVDC ground electrode in various soil structures

2003· article· en· W1917492726 on OpenAlexaff
W. Ruan, Jianjun Ma, J. Liu, F. Dawalibi, Robert Southey

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Line Communications and Noise
Canadian institutionsSafe Engineering Services & Technologies (Canada)
Fundersnot available
KeywordsGroundElectrodeVoltageHigh-voltage direct currentGridSoil waterSoftwareComputer scienceElectrical engineeringElectronic engineeringEngineeringGeologySoil scienceDirect currentPhysics

Abstract

fetched live from OpenAlex

This paper discusses and compares HVDC ground electrode design methods in various soil structures. A number of cases are selected based on existing HVDC ground electrodes in order to compare the conventional simplified design method (Method A) with a more advanced grounding design method using a specialized engineering software (Method B). Various soil structures considered include horizontally layered soils, vertically layered soils and finite volume soils. In all cases studied, grounding grid resistances, current distributions, earth surface potentials and touch/step voltages are computed and compared. The results of Method B are also compared with measurements.. For the cases studied in this paper, it is found that the step voltages computed by Method A are usually lower than those obtained using Method B. This is especially true for a horizontal linear electrode for which the step voltages near the end of electrode could be underestimated by as much as 48%. The results presented in this paper provide useful insight and information for accurately designing DC ground electrodes in various soil structures.

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: none
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 communication0.0010.000
Open science0.0000.000
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 head0.007
GPT teacher head0.204
Teacher spread0.197 · 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

Citations30
Published2003
Admission routes1
Has abstractyes

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