INFLUENCE OF TRANSMISSION-LINE PARAMETERS ON HIGH-AMPLITUDE VIBRATION OF CONDUCTOR BUNDLES
Bibliographic record
Abstract
The influence of transmission-line parameters on high-amplitude cable vibration was studied numerically on a bundle of two conductors. Such line parameters as span length, number of spacers in a span, and suspension length were varied, because they have great influence on the severity of vibration. The high-amplitude vibration was initiated by load removal simulating ice shedding from an entire span of a transmission line, and the severity of vibration was evaluated by determining conductor rebound height and angle of bundle rotation. The numerical model was developed using the commercial finite element analysis software ADINA. Results show that when the initial horizontal tension is kept constant, the conductor jump increases with span length for the shortest spans, and it varies in a limited interval for the longest spans. When the sag-to-span ratio is kept constant, the conductor jump increases with span length even for the longest spans considered. The bundle rotation may increase considerably with span length; however, if the number of spacers is great enough, then the span length may not affect the bundle rotation significantly. The bundle rotation is independent of the suspension length even when only one spacer is applied in the entire span, but the conductor jump increases considerably with suspension length.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".