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Record W2080148728 · doi:10.1109/tpwrd.2013.2291361

Prediction of Aeolian Vibration on Transmission-Line Conductors Using a Nonlinear Time History Model—Part I: Damper Model

2014· article· en· W2080148728 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2014
Typearticle
Languageen
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsDamperVibrationStructural engineeringNonlinear systemTransmission lineStiffnessElectric power transmissionElectrical conductorEngineeringConductorFrequency responseAcousticsPhysicsMaterials scienceElectrical engineering

Abstract

fetched live from OpenAlex

Stockbridge dampers, which consist of a clamp, a messenger cable, and two attached masses, have been successfully used throughout the world for many decades to provide additional damping to transmission-line conductors and reduce aeolian vibration amplitudes. An alternative damper, the Hydro-Québec damper, has a rotational joint with elastomer cylinders to provide stiffness and damping. The objective of this study is to develop a nonlinear model for both types of dampers that predicts their dynamic response for all expected amplitudes and frequencies. These models are built from simple experimental characterization tests to identify stiffness and damping properties. As a validation of the models, the force and phase shift with respect to frequency are obtained numerically and compared successfully to experimental results. These models will be fixed to a conductor model in Part II to predict aeolian vibration amplitudes of damped spans.

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.

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 score0.903
Threshold uncertainty score0.992

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)0.0010.000

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 head0.026
GPT teacher head0.206
Teacher spread0.180 · 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