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Record W2322557965 · doi:10.1061/41077(363)34

Sequential Mechanical Testing of Conductor Designs

2009· article· en· W2322557965 on OpenAlexaff
Bruce Freimark, Bruce Vaughn, Jean-Marie Asselin, C. J. Pon, Zsolt Péter

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsAlcon (Canada)Kinectrics (Canada)
Fundersnot available
KeywordsConductorElectrical conductorStructural engineeringVibrationAluminiumTension (geology)EngineeringMechanical engineeringMaterials scienceComputer scienceElectrical engineeringCompression (physics)Composite materialAcousticsPhysics

Abstract

fetched live from OpenAlex

Like many utilities, American Electric Power (AEP) has concerns regarding the longevity of new high temperature low sag conductors using non-traditional materials. For example, conductor designs such as ACCC (Aluminum Conductor Composite Core) and ACCR (Aluminum Conductor Composite Reinforced) that have entered the market in recent years as well as other new conductor designs that may be coming in the future. While vendors of the new conductors generally run their product through individual tests such as sheave, galloping, aeolian vibration, etc., they typically do not run a single sample through a sequence of tests to represent the mechanical loadings that generally occur during installation and operation of an actual line. For example, conductor installation (sheave testing), exposure to galloping conditions, aeolian vibrations and tension cycles due to varying weather loads. AEP has developed a testing protocol with the goal of evaluating new conductor designs in a few months (approx. 90 days) rather than having to wait years. In order to verify that the testing protocol is not excessively burdensome, AEP has partnered with Alcan Cable and Kinectrics to run samples of commonly used Drake ACSR (Aluminum Conductor Steel Reinforced) and Drake ACSS (Aluminum Conductor Steel Supported) through the same protocol. The only difference between ACSR and ACSS is that ACSR is stranded using hard-drawn aluminum wires, while in ACSS the aluminum wires have been annealed to remove any hardness and strength due to the wire drawing process. This paper discusses the findings of the test program. See Table 1 for the conductor properties.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score0.300

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 head0.052
GPT teacher head0.253
Teacher spread0.202 · 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 designSimulation or modeling
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

Citations3
Published2009
Admission routes1
Has abstractyes

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