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Record W2322524346 · doi:10.1061/9780784479414.024

Design of Fibre-Reinforced Polymer (FRP) Structures for BC Hydro’s Transmission System

2015· article· en· W2322524346 on OpenAlexaff
A. Gilpin-Jackson, Mingming Lu, George Mathew, Galen Fecht

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsBC Hydro (Canada)
Fundersnot available
KeywordsConstructabilityFibre-reinforced plasticUpgradeReliability (semiconductor)Service (business)Construction engineeringRetrofittingWork (physics)Computer scienceCivil engineeringKey (lock)EngineeringSystems engineeringBusinessMechanical engineeringComputer securityStructural engineering

Abstract

fetched live from OpenAlex

Electric utilities are increasingly considering projects to either upgrade or replace existing infrastructure and sometimes new construction needs to address system expansion. In addition to resource availability, regulatory concerns, lack of outages and associated requirements for energized work, some of the key technical considerations are material availability, design requirements, structure reliability, and constructability. Fiber reinforced polymer (FRP) materials present an opportunity for utility engineers to partner with manufacturers and vendors in developing innovative alternatives to structures built with conventional materials. The goal is to achieve a safe, reliable, and maintainable structure to support electrical infrastructure under challenging environmental and in-service conditions. This paper describes BC Hydro’s practice for the design, construction and maintenance of FRP structures including a case study of a 230kV project completed by BC Hydro. The paper also covers BC Hydro’s field experiences with FRP and provides an overview of BC Hydro’s criteria for using FRP components.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.996
Threshold uncertainty score0.007

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)0.0020.000

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 head0.015
GPT teacher head0.209
Teacher spread0.193 · 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
Published2015
Admission routes1
Has abstractyes

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