Prediction of Aeolian Vibrations in Conductors Equipped With Bretelles
Bibliographic record
Abstract
Bretelles (damper-loops) are made of slack conductor pieces that are used to mitigate aeolian vibration amplitudes. Under cyclic and dynamic excitation, significant flexural hys teresis is induced by inter-strand friction within the wires of the bretelle, resulting in the dissipation of substantial amounts of energy. This study proposes a comprehensive method for modeling and predicting aeolian vibrations in transmission line conductors equipped with bretelles. This method employs a direct transient approach to predict the energy dissipation of bretelles and it uses a nonlinear numerical model that was developed for slack cable based on experimental bending tests. By incorporating empirical equations for wind power input and conductor self-damping power dissipation, and utilizing the Energy Balance Principle, vibration amplitudes expected on conductors are predicted. The predicted vibrational response and maximum amplitudes compared well with the laboratory and experimental line data available in the literature. The developed method allows for optimizing the geometrical and mechanical properties of bretelles when coupled with conductors, eliminating the need for additional experimental tests.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".