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Record W2926085191 · doi:10.1139/cjce-2018-0040

In-plane free vibrations of multi-span transmission lines

2019· article· en· W2926085191 on OpenAlexvenueno aff
QI Li-ming, Ameng Xu, Xiaohui Liu

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2019
Typearticle
Languageen
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsnot available
FundersChongqing Science and Technology CommissionNational Natural Science Foundation of China
KeywordsSpan (engineering)VibrationConductorNatural frequencyChord (peer-to-peer)Electric power transmissionMoment of inertiaTransmission lineStructural engineeringPhysicsMathematical analysisMathematicsMechanicsGeometryEngineeringAcousticsClassical mechanicsComputer science

Abstract

fetched live from OpenAlex

A theoretical method of in-plane mode and natural frequency of multi-span transmission lines is presented. The main idea is to establish moment balance equations of each insulator string and in-plane vertical motion equation of each span in multi-span section when the effect of conductor inertia component parallel to the chord on the additional horizontal tension of conductor is considered. The validity of theoretical mode and natural frequency is demonstrated by consistency with the numerical results of a typical five-span transmission line based on ABAQUS. It is shown that the mode of the five-span transmission line with a larger elasto-geometrical parameter exhibits asymmetrical shape that differed from those of single-span conductor. Considering the complexity of the theoretical expression, a simplified theoretical formulation of the modes and natural frequencies of multi-span transmission lines is obtained. Based on the curve of the frequency changing with the elasto-geometrical parameter, the various internal resonance conditions are discussed.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.888
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.183
Teacher spread0.177 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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