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Record W2898906595 · doi:10.1061/9780784481837.045

Design and Construction of Riser Structures in Alberta

2018· article· en· W2898906595 on OpenAlexaboutno aff
Kumar Kishor, Andrew P. Rees

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
Fundersnot available
KeywordsBushingElectrical conductorOverhead (engineering)ThrustOverhead lineEngineeringElectrical equipmentLine (geometry)Mechanical engineeringStructural engineeringElectrical engineering

Abstract

fetched live from OpenAlex

Riser structures are the interface between the overhead and underground sections of electrical lines. Due to limited knowledge of underground cable behavior and its termination, line designers face challenges while designing these types of structures. This paper discusses in-detail the 138 kV and 240 kV riser structures types, mechanical and electrical loading from overhead and underground cables, electrical clearances, and special hardware and construction requirements of riser structures that a line designer should consider. Riser structures are designed to resist electrical and mechanical loads coming from underground systems while keeping the electrical clearances and connections to the bushing intact. Underground conductors exert longitudinal forces during electrical loading and can create thrust on the termination structure. The termination between cable and bushing is the weakest link in the system. Therefore, termination platform design needs to be done in such a way to ensure safe transfer of mechanical loads due to cable expansion during operation to the bushing platform without failure of the termination. Some hardware is unique to these structures and must be ordered well in advance and will be discussed in this paper.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.941
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.191
Teacher spread0.185 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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